2024-08-20T21:35:54.1244344Z Current runner version: '2.319.1' 2024-08-20T21:35:54.1251426Z Runner name: 'i-0fd3c7981a5ce42b2' 2024-08-20T21:35:54.1252160Z Runner group name: 'Default' 2024-08-20T21:35:54.1252925Z Machine name: 'ip-10-0-58-9' 2024-08-20T21:35:54.1270424Z Testing runner upgrade compatibility 2024-08-20T21:35:54.4133388Z ##[group]GITHUB_TOKEN Permissions 2024-08-20T21:35:54.4135836Z Actions: read 2024-08-20T21:35:54.4136277Z Attestations: read 2024-08-20T21:35:54.4136755Z Checks: read 2024-08-20T21:35:54.4137227Z Contents: read 2024-08-20T21:35:54.4137638Z Deployments: read 2024-08-20T21:35:54.4138109Z Discussions: read 2024-08-20T21:35:54.4138592Z Issues: read 2024-08-20T21:35:54.4138980Z Metadata: read 2024-08-20T21:35:54.4139432Z Packages: read 2024-08-20T21:35:54.4139954Z Pages: read 2024-08-20T21:35:54.4140347Z PullRequests: read 2024-08-20T21:35:54.4140844Z RepositoryProjects: read 2024-08-20T21:35:54.4141420Z SecurityEvents: read 2024-08-20T21:35:54.4141862Z Statuses: read 2024-08-20T21:35:54.4142572Z ##[endgroup] 2024-08-20T21:35:54.4146291Z Secret source: Actions 2024-08-20T21:35:54.4146970Z Prepare workflow directory 2024-08-20T21:35:54.7773861Z Prepare all required actions 2024-08-20T21:35:54.7941325Z Getting action download info 2024-08-20T21:35:54.9746301Z Download action repository 'pytorch/test-infra@main' (SHA:0c3a2634aaa2f638c8f640e743f03d696ce1191f) 2024-08-20T21:35:55.3141070Z Download action repository 'pytorch/pytorch@main' (SHA:15b5a0b67fc3f34fb0bf1afa6f91e0c4c2b7fd8d) 2024-08-20T21:35:58.5084699Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0) 2024-08-20T21:35:58.6321655Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2024-08-20T21:35:58.8838773Z Getting action download info 2024-08-20T21:35:58.9695322Z Download action repository 'malfet/checkout@silent-checkout' (SHA:e07af140b3ccefc05679e3755b9db68f4ee4589c) 2024-08-20T21:35:59.1624147Z Getting action download info 2024-08-20T21:35:59.2691787Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2024-08-20T21:35:59.3867323Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/pull/133712/merge (f2fb9405c2fa9f9502a76363091cce6fd8179736) 2024-08-20T21:35:59.3869641Z ##[group] Inputs 2024-08-20T21:35:59.3870052Z build-environment: linux-focal-py3.8-clang10 2024-08-20T21:35:59.3873973Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 4, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 3, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}]} 2024-08-20T21:35:59.3878155Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:35:59.3879167Z sync-tag: 2024-08-20T21:35:59.3879970Z timeout-minutes: 240 2024-08-20T21:35:59.3880286Z use-gha: 2024-08-20T21:35:59.3880553Z dashboard-tag: 2024-08-20T21:35:59.3880837Z s3-bucket: gha-artifacts 2024-08-20T21:35:59.3881176Z aws-role-to-assume: 2024-08-20T21:35:59.3881493Z ##[endgroup] 2024-08-20T21:35:59.3882269Z Complete job name: linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:35:59.4438505Z A job started hook has been configured by the self-hosted runner administrator 2024-08-20T21:35:59.4581807Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2024-08-20T21:35:59.4591496Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:35:59.4592005Z ##[endgroup] 2024-08-20T21:36:01.0820171Z Runner Type: amz2023.linux.2xlarge 2024-08-20T21:36:01.0820702Z Instance Type: c5.2xlarge 2024-08-20T21:36:01.0821388Z AMI Name: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64 2024-08-20T21:36:01.0821972Z AMI ID: ami-06c68f701d8090592 2024-08-20T21:36:06.7347557Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2024-08-20T21:36:06.7348159Z with: 2024-08-20T21:36:06.7348846Z github-secret: *** 2024-08-20T21:36:06.7349795Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-08-20T21:36:06.7350838Z activate-with-label: false 2024-08-20T21:36:06.7351185Z label: with-ssh 2024-08-20T21:36:06.7351473Z remove-existing-keys: true 2024-08-20T21:36:06.7351817Z fail-silently: true 2024-08-20T21:36:06.7352121Z env: 2024-08-20T21:36:06.7352360Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:06.7352681Z ##[endgroup] 2024-08-20T21:36:06.8188969Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2024-08-20T21:36:07.1235946Z Grabbing public ssh keys from https://github.com/pytorchmergebot.keys 2024-08-20T21:36:07.2101330Z No SSH keys found for user pytorchmergebot 2024-08-20T21:36:07.2102033Z Grabbing public ssh keys from https://github.com/XuehaiPan.keys 2024-08-20T21:36:07.2713566Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh 2024-08-20T21:36:07.2727327Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys 2024-08-20T21:36:07.2751492Z Login using: ssh ec2-user@ec2-54-234-178-107.compute-1.amazonaws.com 2024-08-20T21:36:07.2752639Z All testing is done inside the container, to start an interactive session run: 2024-08-20T21:36:07.2753622Z docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-08-20T21:36:07.2865531Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2024-08-20T21:36:07.2866063Z with: 2024-08-20T21:36:07.2866320Z submodules: recursive 2024-08-20T21:36:07.2866635Z fetch-depth: 0 2024-08-20T21:36:07.2866889Z env: 2024-08-20T21:36:07.2867139Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:07.2867461Z ##[endgroup] 2024-08-20T21:36:07.3090174Z ##[group]Run retry () { 2024-08-20T21:36:07.3090529Z retry () { 2024-08-20T21:36:07.3091000Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2024-08-20T21:36:07.3091840Z } 2024-08-20T21:36:07.3092133Z echo "${GITHUB_WORKSPACE}" 2024-08-20T21:36:07.3092526Z if [ -z "${NO_SUDO}" ]; then 2024-08-20T21:36:07.3092993Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2024-08-20T21:36:07.3093436Z else 2024-08-20T21:36:07.3093758Z  retry rm -rf "${GITHUB_WORKSPACE}" 2024-08-20T21:36:07.3094157Z fi 2024-08-20T21:36:07.3094497Z mkdir "${GITHUB_WORKSPACE}" 2024-08-20T21:36:07.3101599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:07.3102102Z env: 2024-08-20T21:36:07.3102360Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:07.3102670Z NO_SUDO: 2024-08-20T21:36:07.3102928Z ##[endgroup] 2024-08-20T21:36:07.3131736Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:36:09.4035881Z ##[group]Run malfet/checkout@silent-checkout 2024-08-20T21:36:09.4036306Z with: 2024-08-20T21:36:09.4036600Z ref: 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:36:09.4037035Z fetch-depth: 0 2024-08-20T21:36:09.4037326Z submodules: recursive 2024-08-20T21:36:09.4037631Z quiet-checkout: true 2024-08-20T21:36:09.4037958Z repository: pytorch/pytorch 2024-08-20T21:36:09.4038433Z token: *** 2024-08-20T21:36:09.4038688Z ssh-strict: true 2024-08-20T21:36:09.4038997Z persist-credentials: true 2024-08-20T21:36:09.4039333Z clean: true 2024-08-20T21:36:09.4039824Z sparse-checkout-cone-mode: true 2024-08-20T21:36:09.4040195Z lfs: false 2024-08-20T21:36:09.4040471Z set-safe-directory: true 2024-08-20T21:36:09.4040773Z env: 2024-08-20T21:36:09.4041023Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:09.4041347Z ##[endgroup] 2024-08-20T21:36:09.5041157Z Syncing repository: pytorch/pytorch 2024-08-20T21:36:09.5043728Z ##[group]Getting Git version info 2024-08-20T21:36:09.5044576Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-08-20T21:36:09.5045475Z [command]/usr/bin/git version 2024-08-20T21:36:09.5045824Z git version 2.40.1 2024-08-20T21:36:09.5047287Z ##[endgroup] 2024-08-20T21:36:09.5082630Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/2eec44da-e8d2-4b05-9857-9e6e009fcb4a' before making global git config changes 2024-08-20T21:36:09.5084944Z Adding repository directory to the temporary git global config as a safe directory 2024-08-20T21:36:09.5089208Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:36:09.5130881Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-08-20T21:36:09.5135274Z ##[group]Initializing the repository 2024-08-20T21:36:09.5138983Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:36:09.5187497Z hint: Using 'master' as the name for the initial branch. This default branch name 2024-08-20T21:36:09.5188599Z hint: is subject to change. To configure the initial branch name to use in all 2024-08-20T21:36:09.5189415Z hint: of your new repositories, which will suppress this warning, call: 2024-08-20T21:36:09.5189968Z hint: 2024-08-20T21:36:09.5190534Z hint: git config --global init.defaultBranch 2024-08-20T21:36:09.5191263Z hint: 2024-08-20T21:36:09.5192195Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2024-08-20T21:36:09.5193728Z hint: 'development'. The just-created branch can be renamed via this command: 2024-08-20T21:36:09.5195085Z hint: 2024-08-20T21:36:09.5195639Z hint: git branch -m 2024-08-20T21:36:09.5196945Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2024-08-20T21:36:09.5200769Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2024-08-20T21:36:09.5270078Z ##[endgroup] 2024-08-20T21:36:09.5271032Z ##[group]Disabling automatic garbage collection 2024-08-20T21:36:09.5274566Z [command]/usr/bin/git config --local gc.auto 0 2024-08-20T21:36:09.5305024Z ##[endgroup] 2024-08-20T21:36:09.5305879Z ##[group]Setting up auth 2024-08-20T21:36:09.5312134Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-08-20T21:36:09.5345596Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-08-20T21:36:09.5607783Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-08-20T21:36:09.5638347Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2024-08-20T21:36:09.5888350Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-08-20T21:36:09.5932793Z ##[endgroup] 2024-08-20T21:36:09.5933347Z ##[group]Fetching the repository 2024-08-20T21:36:09.5938944Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --progress --no-recurse-submodules --quiet origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2024-08-20T21:36:12.2751436Z remote: Enumerating objects: 1008455 2024-08-20T21:36:12.2751985Z remote: Enumerating objects: 1010108, done. 2024-08-20T21:36:12.2752855Z remote: 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2024-08-20T21:36:12.2803748Z remote: Counting objects: 85% (1406/1653) 2024-08-20T21:36:12.2804242Z remote: Counting objects: 86% (1422/1653) 2024-08-20T21:36:12.2804728Z remote: Counting objects: 87% (1439/1653) 2024-08-20T21:36:12.2805228Z remote: Counting objects: 88% (1455/1653) 2024-08-20T21:36:12.2805724Z remote: Counting objects: 89% (1472/1653) 2024-08-20T21:36:12.2806210Z remote: Counting objects: 90% (1488/1653) 2024-08-20T21:36:12.2806794Z remote: Counting objects: 91% (1505/1653) 2024-08-20T21:36:12.2807300Z remote: Counting objects: 92% (1521/1653) 2024-08-20T21:36:12.2807782Z remote: Counting objects: 93% (1538/1653) 2024-08-20T21:36:12.2808277Z remote: Counting objects: 94% (1554/1653) 2024-08-20T21:36:12.2808779Z remote: Counting objects: 95% (1571/1653) 2024-08-20T21:36:12.2809280Z remote: Counting objects: 96% (1587/1653) 2024-08-20T21:36:12.2809770Z remote: Counting objects: 97% (1604/1653) 2024-08-20T21:36:12.2810266Z remote: Counting objects: 98% (1620/1653) 2024-08-20T21:36:12.2810763Z remote: Counting objects: 99% (1637/1653) 2024-08-20T21:36:12.2811245Z remote: Counting objects: 100% (1653/1653) 2024-08-20T21:36:12.2811792Z remote: Counting objects: 100% (1653/1653), done. 2024-08-20T21:36:12.3029406Z remote: Compressing objects: 0% (1/815) 2024-08-20T21:36:12.3346232Z remote: Compressing objects: 1% (9/815) 2024-08-20T21:36:12.3686930Z remote: Compressing objects: 2% (17/815) 2024-08-20T21:36:12.4297396Z remote: Compressing objects: 3% (25/815) 2024-08-20T21:36:12.4997093Z remote: Compressing objects: 4% (33/815) 2024-08-20T21:36:12.5440734Z remote: Compressing objects: 5% (41/815) 2024-08-20T21:36:12.5896083Z remote: Compressing objects: 6% (49/815) 2024-08-20T21:36:12.6273699Z remote: Compressing objects: 7% (58/815) 2024-08-20T21:36:12.6611958Z remote: Compressing objects: 8% (66/815) 2024-08-20T21:36:12.6901606Z remote: Compressing objects: 9% (74/815) 2024-08-20T21:36:12.7126610Z remote: Compressing objects: 10% (82/815) 2024-08-20T21:36:12.7308109Z remote: Compressing objects: 11% (90/815) 2024-08-20T21:36:12.7542742Z remote: Compressing objects: 12% (98/815) 2024-08-20T21:36:12.7711078Z remote: Compressing objects: 13% (106/815) 2024-08-20T21:36:12.7815412Z remote: Compressing objects: 14% (115/815) 2024-08-20T21:36:12.7897732Z remote: Compressing objects: 15% (123/815) 2024-08-20T21:36:12.7980699Z remote: Compressing objects: 16% (131/815) 2024-08-20T21:36:12.8059414Z remote: Compressing objects: 17% (139/815) 2024-08-20T21:36:12.8119750Z remote: Compressing objects: 18% (147/815) 2024-08-20T21:36:12.8161133Z remote: Compressing objects: 19% (155/815) 2024-08-20T21:36:12.8201493Z remote: Compressing objects: 20% (163/815) 2024-08-20T21:36:12.8230865Z remote: Compressing objects: 21% (172/815) 2024-08-20T21:36:12.8248305Z remote: Compressing objects: 22% (180/815) 2024-08-20T21:36:12.8250365Z remote: Compressing objects: 23% (188/815) 2024-08-20T21:36:12.8257972Z remote: Compressing objects: 24% (196/815) 2024-08-20T21:36:12.8263658Z remote: Compressing objects: 25% (204/815) 2024-08-20T21:36:12.8274646Z remote: Compressing objects: 26% (212/815) 2024-08-20T21:36:12.8291514Z remote: Compressing objects: 27% (221/815) 2024-08-20T21:36:12.8306253Z remote: Compressing objects: 28% (229/815) 2024-08-20T21:36:12.8309603Z remote: Compressing objects: 29% (237/815) 2024-08-20T21:36:12.8325713Z remote: Compressing objects: 30% (245/815) 2024-08-20T21:36:12.8332336Z remote: Compressing objects: 31% (253/815) 2024-08-20T21:36:12.8341157Z remote: Compressing objects: 32% (261/815) 2024-08-20T21:36:12.8351260Z remote: Compressing objects: 33% (269/815) 2024-08-20T21:36:12.8358485Z remote: Compressing objects: 34% (278/815) 2024-08-20T21:36:12.8364347Z remote: Compressing objects: 35% (286/815) 2024-08-20T21:36:12.8372321Z remote: Compressing objects: 36% (294/815) 2024-08-20T21:36:12.8381537Z remote: Compressing objects: 37% (302/815) 2024-08-20T21:36:12.8388727Z remote: Compressing objects: 38% (310/815) 2024-08-20T21:36:12.8394394Z remote: Compressing objects: 39% (318/815) 2024-08-20T21:36:12.8400827Z remote: Compressing objects: 40% (326/815) 2024-08-20T21:36:12.8410067Z remote: Compressing objects: 41% (335/815) 2024-08-20T21:36:12.8415201Z remote: Compressing objects: 42% (343/815) 2024-08-20T21:36:12.8422002Z remote: Compressing objects: 43% (351/815) 2024-08-20T21:36:12.8428951Z remote: Compressing objects: 44% (359/815) 2024-08-20T21:36:12.8434479Z remote: Compressing objects: 45% (367/815) 2024-08-20T21:36:12.8440732Z remote: Compressing objects: 46% (375/815) 2024-08-20T21:36:12.8444535Z remote: Compressing objects: 47% (384/815) 2024-08-20T21:36:12.8448234Z remote: Compressing objects: 48% (392/815) 2024-08-20T21:36:12.8453099Z remote: Compressing objects: 49% (400/815) 2024-08-20T21:36:12.8456535Z remote: Compressing objects: 50% (408/815) 2024-08-20T21:36:12.8461009Z remote: Compressing objects: 51% (416/815) 2024-08-20T21:36:12.8464891Z remote: Compressing objects: 52% (424/815) 2024-08-20T21:36:12.8467726Z remote: Compressing objects: 53% (432/815) 2024-08-20T21:36:12.8469971Z remote: Compressing objects: 54% (441/815) 2024-08-20T21:36:12.8472309Z remote: Compressing objects: 55% (449/815) 2024-08-20T21:36:12.8474345Z remote: Compressing objects: 56% (457/815) 2024-08-20T21:36:12.8476150Z remote: Compressing objects: 57% (465/815) 2024-08-20T21:36:12.8476892Z remote: Compressing objects: 58% (473/815) 2024-08-20T21:36:12.8478237Z remote: Compressing objects: 59% (481/815) 2024-08-20T21:36:12.8479445Z remote: Compressing objects: 60% (489/815) 2024-08-20T21:36:12.8480171Z remote: Compressing objects: 61% (498/815) 2024-08-20T21:36:12.8481331Z remote: Compressing objects: 62% (506/815) 2024-08-20T21:36:12.8482022Z remote: Compressing objects: 63% (514/815) 2024-08-20T21:36:12.8482867Z remote: Compressing objects: 64% (522/815) 2024-08-20T21:36:12.8487614Z remote: Compressing objects: 65% (530/815) 2024-08-20T21:36:12.8495688Z remote: Compressing objects: 66% (538/815) 2024-08-20T21:36:12.8500423Z remote: Compressing objects: 67% (547/815) 2024-08-20T21:36:12.8504042Z remote: Compressing objects: 68% (555/815) 2024-08-20T21:36:12.8509190Z remote: Compressing objects: 69% (563/815) 2024-08-20T21:36:12.8513068Z remote: Compressing objects: 70% (571/815) 2024-08-20T21:36:12.8517309Z remote: Compressing objects: 71% (579/815) 2024-08-20T21:36:12.8520308Z remote: Compressing objects: 72% (587/815) 2024-08-20T21:36:12.8525187Z remote: Compressing objects: 73% (595/815) 2024-08-20T21:36:12.8528889Z remote: Compressing objects: 74% (604/815) 2024-08-20T21:36:12.8532482Z remote: Compressing objects: 75% (612/815) 2024-08-20T21:36:12.8536569Z remote: Compressing objects: 76% (620/815) 2024-08-20T21:36:12.8540965Z remote: Compressing objects: 77% (628/815) 2024-08-20T21:36:12.8544226Z remote: Compressing objects: 78% (636/815) 2024-08-20T21:36:12.8546012Z remote: Compressing objects: 79% (644/815) 2024-08-20T21:36:12.8548907Z remote: Compressing objects: 80% (652/815) 2024-08-20T21:36:12.8551477Z remote: Compressing objects: 81% (661/815) 2024-08-20T21:36:12.8554155Z remote: Compressing objects: 82% (669/815) 2024-08-20T21:36:12.8556536Z remote: Compressing objects: 83% (677/815) 2024-08-20T21:36:12.8558413Z remote: Compressing objects: 84% (685/815) 2024-08-20T21:36:12.8560365Z remote: Compressing objects: 85% (693/815) 2024-08-20T21:36:12.8562568Z remote: Compressing objects: 86% (701/815) 2024-08-20T21:36:12.8564289Z remote: Compressing objects: 87% (710/815) 2024-08-20T21:36:12.8571328Z remote: Compressing objects: 88% (718/815) 2024-08-20T21:36:12.8574613Z remote: Compressing objects: 89% (726/815) 2024-08-20T21:36:12.8577960Z remote: Compressing objects: 90% (734/815) 2024-08-20T21:36:12.8580027Z remote: Compressing objects: 91% (742/815) 2024-08-20T21:36:12.8580930Z remote: Compressing objects: 92% (750/815) 2024-08-20T21:36:12.8581905Z remote: Compressing objects: 93% (758/815) 2024-08-20T21:36:12.8583644Z remote: Compressing objects: 94% (767/815) 2024-08-20T21:36:12.8585339Z remote: Compressing objects: 95% (775/815) 2024-08-20T21:36:12.8587465Z remote: Compressing objects: 96% (783/815) 2024-08-20T21:36:12.8587997Z remote: Compressing objects: 97% (791/815) 2024-08-20T21:36:12.8590824Z remote: Compressing objects: 98% (799/815) 2024-08-20T21:36:12.8592774Z remote: Compressing objects: 99% (807/815) 2024-08-20T21:36:12.8593748Z remote: Compressing objects: 100% (815/815) 2024-08-20T21:36:12.8594305Z remote: Compressing objects: 100% (815/815), done. 2024-08-20T21:36:33.9955324Z remote: Total 1010108 (delta 1093), reused 1299 (delta 835), pack-reused 1008455 (from 1) 2024-08-20T21:37:00.6711099Z [command]/usr/bin/git rev-parse --verify --quiet 40ec5f6ddd9787aca0449b24128343ff4c4a88b3^{object} 2024-08-20T21:37:00.6738292Z 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:37:00.6742462Z ##[endgroup] 2024-08-20T21:37:00.6743093Z ##[group]Determining the checkout info 2024-08-20T21:37:00.6744087Z ##[endgroup] 2024-08-20T21:37:00.6744744Z ##[group]Checking out the ref 2024-08-20T21:37:00.6747716Z [command]/usr/bin/git checkout --quiet --force 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:37:02.0458681Z ##[endgroup] 2024-08-20T21:37:02.0459324Z ##[group]Setting up auth for fetching submodules 2024-08-20T21:37:02.0461909Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-08-20T21:37:02.0512831Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2024-08-20T21:37:02.0542016Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2024-08-20T21:37:02.0571136Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2024-08-20T21:37:02.0596562Z ##[endgroup] 2024-08-20T21:37:02.0597428Z ##[group]Fetching submodules 2024-08-20T21:37:02.0600160Z [command]/usr/bin/git submodule sync --recursive 2024-08-20T21:37:02.0878294Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2024-08-20T21:37:02.1149843Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2024-08-20T21:37:02.1151363Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2024-08-20T21:37:02.1152833Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2024-08-20T21:37:02.1154479Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2024-08-20T21:37:02.1157659Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2024-08-20T21:37:02.1159908Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2024-08-20T21:37:02.1162479Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2024-08-20T21:37:02.1165111Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2024-08-20T21:37:02.1167958Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2024-08-20T21:37:02.1170940Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2024-08-20T21:37:02.1175340Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2024-08-20T21:37:02.1178462Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2024-08-20T21:37:02.1181653Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2024-08-20T21:37:02.1185000Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2024-08-20T21:37:02.1188237Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2024-08-20T21:37:02.1192619Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:37:02.1197739Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2024-08-20T21:37:02.1201496Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2024-08-20T21:37:02.1205311Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2024-08-20T21:37:02.1209306Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2024-08-20T21:37:02.1213131Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2024-08-20T21:37:02.1217179Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2024-08-20T21:37:02.1221172Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2024-08-20T21:37:02.1225576Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2024-08-20T21:37:02.1229789Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2024-08-20T21:37:02.1234864Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2024-08-20T21:37:02.1239103Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2024-08-20T21:37:02.1243726Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2024-08-20T21:37:02.1248698Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2024-08-20T21:37:02.1253529Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2024-08-20T21:37:02.1258256Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2024-08-20T21:37:02.1263363Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2024-08-20T21:37:02.1268198Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2024-08-20T21:37:02.1274437Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2024-08-20T21:37:02.1301529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2024-08-20T21:37:02.4440353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2024-08-20T21:37:02.6398862Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2024-08-20T21:37:02.8322375Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2024-08-20T21:37:03.0723993Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2024-08-20T21:37:05.2692192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2024-08-20T21:37:19.1754620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2024-08-20T21:37:19.5783222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2024-08-20T21:37:20.0731018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2024-08-20T21:37:20.7061022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2024-08-20T21:37:21.8842315Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2024-08-20T21:37:23.9278188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2024-08-20T21:37:29.4974932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2024-08-20T21:37:31.0674469Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2024-08-20T21:37:32.8813672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2024-08-20T21:37:34.3904113Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2024-08-20T21:37:34.8452585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2024-08-20T21:37:35.2030169Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2024-08-20T21:37:36.4061464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2024-08-20T21:37:36.7621172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2024-08-20T21:37:36.9994897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2024-08-20T21:37:38.5206144Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2024-08-20T21:37:39.2984639Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2024-08-20T21:37:39.9490655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2024-08-20T21:37:46.4152522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2024-08-20T21:37:48.7100029Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2024-08-20T21:37:54.8800673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2024-08-20T21:37:55.1154623Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2024-08-20T21:38:05.3307223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2024-08-20T21:38:05.5306733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2024-08-20T21:38:05.7693399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2024-08-20T21:38:06.7819697Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2024-08-20T21:38:07.0711294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2024-08-20T21:38:07.7201515Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2024-08-20T21:38:08.1327423Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2024-08-20T21:38:08.1437022Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2024-08-20T21:38:08.1517628Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2024-08-20T21:38:08.1742999Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2024-08-20T21:38:08.2079930Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2024-08-20T21:38:09.1195903Z Submodule path 'third_party/XNNPACK': checked out 'fcbf55af6cf28a4627bcd1f703ab7ad843f0f3a2' 2024-08-20T21:38:09.1415547Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2024-08-20T21:38:09.1844136Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006' 2024-08-20T21:38:09.2779398Z Submodule path 'third_party/cpuinfo': checked out '3c8b1533ac03dd6531ab6e7b9245d488f13a82a5' 2024-08-20T21:38:09.3099324Z Submodule path 'third_party/cudnn_frontend': checked out '23511ba176243f27b3b275da1fb3814ea805a171' 2024-08-20T21:38:09.7891835Z Submodule path 'third_party/cutlass': checked out 'bbe579a9e3beb6ea6626d9227ec32d0dae119a49' 2024-08-20T21:38:10.0326244Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2024-08-20T21:38:10.1111877Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e' 2024-08-20T21:38:10.1128593Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:38:10.1132227Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:38:10.1133814Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:38:10.1135416Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:38:10.1138073Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:38:10.1162481Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2024-08-20T21:38:11.1325473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2024-08-20T21:38:11.7964215Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2024-08-20T21:38:13.9197811Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2024-08-20T21:38:15.1124223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2024-08-20T21:38:15.4918446Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2024-08-20T21:38:15.5852843Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2024-08-20T21:38:15.9752690Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2024-08-20T21:38:16.0358381Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2024-08-20T21:38:16.0481205Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2024-08-20T21:38:16.1615133Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2024-08-20T21:38:16.2014489Z Submodule path 'third_party/fmt': checked out '0c9fce2ffefecfdce794e1859584e25877b7b592' 2024-08-20T21:38:16.2406424Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2024-08-20T21:38:16.2649291Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509' 2024-08-20T21:38:16.3091883Z Submodule path 'third_party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2024-08-20T21:38:16.3211285Z Submodule path 'third_party/ideep': checked out '55ca0191687aaf19aca5cdb7881c791e3bea442b' 2024-08-20T21:38:16.3225809Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2024-08-20T21:38:16.3247946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2024-08-20T21:38:30.5919508Z Submodule path 'third_party/ideep/mkl-dnn': checked out '1137e04ec0b5251ca2b4400a4fd3c667ce843d67' 2024-08-20T21:38:30.6092844Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2024-08-20T21:38:30.6934775Z Submodule path 'third_party/kineto': checked out 'd9753139d181b9ff42872465aac0e5d3018be415' 2024-08-20T21:38:30.6951434Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:38:30.6953477Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:38:30.6956255Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:38:30.6981961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2024-08-20T21:38:31.2813818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2024-08-20T21:38:32.7218092Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2024-08-20T21:38:33.9861941Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2024-08-20T21:38:33.9877855Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:38:33.9880120Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:38:33.9883007Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:38:33.9885952Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:38:33.9889006Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:38:33.9892241Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:38:33.9895395Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:38:33.9898721Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:38:33.9924258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2024-08-20T21:38:34.8374857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2024-08-20T21:38:35.2233372Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2024-08-20T21:38:36.6272773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2024-08-20T21:38:36.8952565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2024-08-20T21:38:37.4009393Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2024-08-20T21:38:38.6135647Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2024-08-20T21:38:45.4053281Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2024-08-20T21:38:45.7648078Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2024-08-20T21:38:45.7825447Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2024-08-20T21:38:45.8185127Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2024-08-20T21:38:45.8314068Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2024-08-20T21:38:45.8330261Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:38:45.8354536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2024-08-20T21:38:46.1571159Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2024-08-20T21:38:46.1746633Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2024-08-20T21:38:46.2138142Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2024-08-20T21:38:46.3121377Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2024-08-20T21:38:46.3276888Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2024-08-20T21:38:46.3666758Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2024-08-20T21:38:46.4234165Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2024-08-20T21:38:46.4588954Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2024-08-20T21:38:46.4816595Z Submodule path 'third_party/nccl/nccl': checked out 'ab2b89c4c339bd7f816fbc114a4b05d386b66290' 2024-08-20T21:38:46.5799954Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2024-08-20T21:38:46.9182987Z Submodule path 'third_party/onnx': checked out '3bf92c03a9f27eba3bda1e5b9e63ea20ec213557' 2024-08-20T21:38:46.9216129Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx/third_party/benchmark' 2024-08-20T21:38:46.9219283Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2024-08-20T21:38:46.9243142Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/benchmark'... 2024-08-20T21:38:47.3757865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2024-08-20T21:38:48.3647462Z Submodule path 'third_party/onnx/third_party/benchmark': checked out '2dd015dfef425c866d9a43f2c67d8b52d709acb6' 2024-08-20T21:38:48.3967996Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '5b0a6fc2017fcc176545afe3e09c9f9885283242' 2024-08-20T21:38:48.4619331Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2024-08-20T21:38:48.4635598Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:38:48.4637677Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:38:48.4639896Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:38:48.4642493Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:38:48.4645242Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:38:48.4647682Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:38:48.4650911Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 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[command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2024-08-20T21:39:15.8659855Z Entering 'android/libs/fbjni' 2024-08-20T21:39:15.8705541Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2024-08-20T21:39:15.8719889Z Entering 'third_party/FP16' 2024-08-20T21:39:15.8766790Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2024-08-20T21:39:15.8782360Z Entering 'third_party/FXdiv' 2024-08-20T21:39:15.8828168Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2024-08-20T21:39:15.8841728Z Entering 'third_party/NNPACK' 2024-08-20T21:39:15.8887428Z 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Entering 'third_party/cpuinfo' 2024-08-20T21:39:15.9207341Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2024-08-20T21:39:15.9222309Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:39:15.9267328Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2024-08-20T21:39:15.9282101Z Entering 'third_party/cutlass' 2024-08-20T21:39:15.9327453Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2024-08-20T21:39:15.9349504Z Entering 'third_party/eigen' 2024-08-20T21:39:15.9396764Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config remote.origin.url 2024-08-20T21:39:15.9413250Z Entering 'third_party/fbgemm' 2024-08-20T21:39:15.9459964Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 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remote.origin.url 2024-08-20T21:39:15.9717818Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:39:15.9763972Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config remote.origin.url 2024-08-20T21:39:15.9779288Z Entering 'third_party/flatbuffers' 2024-08-20T21:39:15.9825899Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2024-08-20T21:39:15.9842533Z Entering 'third_party/fmt' 2024-08-20T21:39:15.9887932Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2024-08-20T21:39:15.9902128Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:39:15.9947291Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2024-08-20T21:39:15.9961233Z Entering 'third_party/gloo' 2024-08-20T21:39:16.0007111Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2024-08-20T21:39:16.0021237Z Entering 'third_party/googletest' 2024-08-20T21:39:16.0066550Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:39:16.0081243Z Entering 'third_party/ideep' 2024-08-20T21:39:16.0127209Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2024-08-20T21:39:16.0140014Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:39:16.0186750Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2024-08-20T21:39:16.0207920Z Entering 'third_party/ittapi' 2024-08-20T21:39:16.0254694Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2024-08-20T21:39:16.0269060Z Entering 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2024-08-20T21:39:16.0513988Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:39:16.0560418Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2024-08-20T21:39:16.0574887Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:39:16.0620599Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2024-08-20T21:39:16.0633582Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:39:16.0680150Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2024-08-20T21:39:16.0695906Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:39:16.0743173Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2024-08-20T21:39:16.0758159Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:39:16.0803682Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:39:16.0817240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:39:16.0863501Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2024-08-20T21:39:16.0878312Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:39:16.0925778Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2024-08-20T21:39:16.0941412Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:39:16.0987200Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2024-08-20T21:39:16.1001735Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:39:16.1047371Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2024-08-20T21:39:16.1062583Z Entering 'third_party/mimalloc' 2024-08-20T21:39:16.1108802Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2024-08-20T21:39:16.1123248Z Entering 'third_party/nccl/nccl' 2024-08-20T21:39:16.1169009Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config remote.origin.url 2024-08-20T21:39:16.1184475Z Entering 'third_party/nlohmann' 2024-08-20T21:39:16.1229471Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2024-08-20T21:39:16.1244711Z Entering 'third_party/onnx' 2024-08-20T21:39:16.1291836Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 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2024-08-20T21:39:16.1565938Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:39:16.1610659Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:39:16.1624416Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:39:16.1669229Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2024-08-20T21:39:16.1684118Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:39:16.1729420Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2024-08-20T21:39:16.1744460Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:39:16.1789620Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2024-08-20T21:39:16.1803267Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:39:16.1848722Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2024-08-20T21:39:16.1862401Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:39:16.1909163Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2024-08-20T21:39:16.1922199Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:39:16.1968613Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2024-08-20T21:39:16.1984628Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:39:16.2030102Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2024-08-20T21:39:16.2045210Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:39:16.2091972Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2024-08-20T21:39:16.2126428Z Entering 'third_party/pocketfft' 2024-08-20T21:39:16.2171906Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2024-08-20T21:39:16.2186277Z Entering 'third_party/protobuf' 2024-08-20T21:39:16.2232755Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2024-08-20T21:39:16.2250186Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:39:16.2295881Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2024-08-20T21:39:16.2309468Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:39:16.2354152Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:39:16.2369846Z Entering 'third_party/psimd' 2024-08-20T21:39:16.2416250Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2024-08-20T21:39:16.2430799Z Entering 'third_party/pthreadpool' 2024-08-20T21:39:16.2476904Z 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Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:39:16.2779588Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:39:16.2793623Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:39:16.2838292Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2024-08-20T21:39:16.2851773Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:39:16.2896615Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2024-08-20T21:39:16.2910436Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:39:16.2955432Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config 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2024-08-20T21:39:16.9035966Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:39:16.9073470Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:39:16.9110580Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:39:16.9148478Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:39:16.9184057Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:39:16.9222173Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:39:16.9259689Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:39:16.9315717Z Entering 'third_party/pocketfft' 2024-08-20T21:39:16.9353490Z Entering 'third_party/protobuf' 2024-08-20T21:39:16.9396006Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:39:16.9431590Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:39:16.9469151Z Entering 'third_party/psimd' 2024-08-20T21:39:16.9507198Z Entering 'third_party/pthreadpool' 2024-08-20T21:39:16.9545132Z Entering 'third_party/pybind11' 2024-08-20T21:39:16.9582876Z Entering 'third_party/python-peachpy' 2024-08-20T21:39:16.9620406Z Entering 'third_party/sleef' 2024-08-20T21:39:16.9658263Z Entering 'third_party/tensorpipe' 2024-08-20T21:39:16.9696321Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:39:16.9733283Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:39:16.9769349Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:39:16.9806362Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:39:16.9841735Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:39:16.9892098Z ##[endgroup] 2024-08-20T21:39:16.9929197Z [command]/usr/bin/git log -1 --format='%H' 2024-08-20T21:39:16.9954898Z '40ec5f6ddd9787aca0449b24128343ff4c4a88b3' 2024-08-20T21:39:17.0142960Z Prepare all required actions 2024-08-20T21:39:17.0143635Z Getting action download info 2024-08-20T21:39:17.1430945Z ##[group]Run ./.github/actions/setup-linux 2024-08-20T21:39:17.1431661Z env: 2024-08-20T21:39:17.1431917Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:17.1432351Z ##[endgroup] 2024-08-20T21:39:17.1495282Z ##[group]Run set -euo pipefail 2024-08-20T21:39:17.1495702Z set -euo pipefail 2024-08-20T21:39:17.1496064Z function get_ec2_metadata() { 2024-08-20T21:39:17.1496588Z  # Pulled from instance metadata endpoint for EC2 2024-08-20T21:39:17.1497503Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2024-08-20T21:39:17.1498278Z  category=$1 2024-08-20T21:39:17.1498791Z  # If it is GCP runner (runner name contains gcp), do not run this 2024-08-20T21:39:17.1499421Z  runner_name_str=i-0fd3c7981a5ce42b2 2024-08-20T21:39:17.1499904Z  if [[ -f /.inarc ]]; then 2024-08-20T21:39:17.1500374Z  echo "ARC Runner, no info on ec2 metadata" 2024-08-20T21:39:17.1500908Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2024-08-20T21:39:17.1501588Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2024-08-20T21:39:17.1502207Z  else 2024-08-20T21:39:17.1502665Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2024-08-20T21:39:17.1503236Z  fi 2024-08-20T21:39:17.1503495Z } 2024-08-20T21:39:17.1503814Z echo "ami-id: $(get_ec2_metadata ami-id)" 2024-08-20T21:39:17.1504382Z echo "instance-id: $(get_ec2_metadata instance-id)" 2024-08-20T21:39:17.1505024Z echo "instance-type: $(get_ec2_metadata instance-type)" 2024-08-20T21:39:17.1505566Z echo "system info $(uname -a)" 2024-08-20T21:39:17.1513956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:17.1514449Z env: 2024-08-20T21:39:17.1514709Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:17.1515036Z ##[endgroup] 2024-08-20T21:39:17.1639101Z ami-id: ami-06c68f701d8090592 2024-08-20T21:39:17.1687499Z instance-id: i-0fd3c7981a5ce42b2 2024-08-20T21:39:17.1733591Z instance-type: c5.2xlarge 2024-08-20T21:39:17.1743086Z system info Linux ip-10-0-58-9.ec2.internal 6.1.94-99.176.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 18 14:57:56 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2024-08-20T21:39:17.1765267Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-08-20T21:39:17.1766181Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-08-20T21:39:17.1772355Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:17.1773054Z env: 2024-08-20T21:39:17.1773298Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:17.1773622Z ##[endgroup] 2024-08-20T21:39:17.1839370Z ##[group]Run if systemctl is-active --quiet docker; then 2024-08-20T21:39:17.1839962Z if systemctl is-active --quiet docker; then 2024-08-20T21:39:17.1840487Z  echo "Docker daemon is running..."; 2024-08-20T21:39:17.1840917Z else 2024-08-20T21:39:17.1841377Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2024-08-20T21:39:17.1841962Z fi 2024-08-20T21:39:17.1847330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:17.1847804Z env: 2024-08-20T21:39:17.1848058Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:17.1848381Z ##[endgroup] 2024-08-20T21:39:17.1916008Z Docker daemon is running... 2024-08-20T21:39:17.1966919Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-08-20T21:39:17.1967480Z with: 2024-08-20T21:39:17.1967721Z shell: bash 2024-08-20T21:39:17.1967978Z timeout_minutes: 5 2024-08-20T21:39:17.1968276Z max_attempts: 3 2024-08-20T21:39:17.1968563Z retry_wait_seconds: 30 2024-08-20T21:39:17.1971878Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2024-08-20T21:39:17.1975407Z polling_interval_seconds: 1 2024-08-20T21:39:17.1975770Z warning_on_retry: true 2024-08-20T21:39:17.1976087Z continue_on_error: false 2024-08-20T21:39:17.1976404Z env: 2024-08-20T21:39:17.1976651Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:17.1976970Z AWS_RETRY_MODE: standard 2024-08-20T21:39:17.1977296Z AWS_MAX_ATTEMPTS: 5 2024-08-20T21:39:17.1977613Z AWS_DEFAULT_REGION: us-east-1 2024-08-20T21:39:17.1977960Z ##[endgroup] 2024-08-20T21:39:18.3107612Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-08-20T21:39:18.3109004Z Configure a credential helper to remove this warning. See 2024-08-20T21:39:18.3109883Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-08-20T21:39:18.3110469Z 2024-08-20T21:39:18.3110571Z Login Succeeded 2024-08-20T21:39:19.2511240Z Command completed after 1 attempt(s). 2024-08-20T21:39:19.2559688Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-08-20T21:39:19.2560412Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-08-20T21:39:19.2561187Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-08-20T21:39:19.2567225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:19.2567720Z env: 2024-08-20T21:39:19.2567978Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:19.2568298Z ##[endgroup] 2024-08-20T21:39:19.2645076Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T21:39:19.2645846Z # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T21:39:19.2646435Z # shellcheck disable=SC2046 2024-08-20T21:39:19.2646985Z docker stop $(docker ps -q) || true 2024-08-20T21:39:19.2647451Z # Prune all of the docker images 2024-08-20T21:39:19.2647886Z docker system prune -af 2024-08-20T21:39:19.2653253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:19.2653723Z env: 2024-08-20T21:39:19.2653980Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:19.2654304Z ##[endgroup] 2024-08-20T21:39:19.2897311Z "docker stop" requires at least 1 argument. 2024-08-20T21:39:19.2898315Z See 'docker stop --help'. 2024-08-20T21:39:19.2898553Z 2024-08-20T21:39:19.2898847Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2024-08-20T21:39:19.2899473Z 2024-08-20T21:39:19.2899618Z Stop one or more running containers 2024-08-20T21:39:19.3040529Z Total reclaimed space: 0B 2024-08-20T21:39:19.3078401Z ##[group]Run set +e 2024-08-20T21:39:19.3078757Z set +e 2024-08-20T21:39:19.3079029Z set -x 2024-08-20T21:39:19.3079300Z  2024-08-20T21:39:19.3079600Z PT_DOMAIN=download.pytorch.org 2024-08-20T21:39:19.3080389Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2024-08-20T21:39:19.3081487Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2024-08-20T21:39:19.3082241Z # one is returned at random 2024-08-20T21:39:19.3082752Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2024-08-20T21:39:19.3083251Z  2024-08-20T21:39:19.3083540Z if [ -z "${RESOLVED_IP}" ]; then 2024-08-20T21:39:19.3084136Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2024-08-20T21:39:19.3085032Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2024-08-20T21:39:19.3085580Z  2024-08-20T21:39:19.3085881Z  if [ -z "${RESOLVED_IP}" ]; then 2024-08-20T21:39:19.3086398Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2024-08-20T21:39:19.3086978Z  exit 1 2024-08-20T21:39:19.3087366Z  fi 2024-08-20T21:39:19.3087613Z fi 2024-08-20T21:39:19.3087864Z  2024-08-20T21:39:19.3088196Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2024-08-20T21:39:19.3088685Z  # Clean up any old records first 2024-08-20T21:39:19.3089176Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2024-08-20T21:39:19.3089612Z fi 2024-08-20T21:39:19.3089851Z  2024-08-20T21:39:19.3090258Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2024-08-20T21:39:19.3090796Z cat /etc/hosts 2024-08-20T21:39:19.3098720Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:19.3099212Z env: 2024-08-20T21:39:19.3099483Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:19.3099797Z ##[endgroup] 2024-08-20T21:39:19.3122900Z + PT_DOMAIN=download.pytorch.org 2024-08-20T21:39:19.3128815Z ++ dig -4 +short download.pytorch.org 2024-08-20T21:39:19.3129292Z ++ tail -n1 2024-08-20T21:39:19.3447651Z + RESOLVED_IP=18.165.98.97 2024-08-20T21:39:19.3448531Z + '[' -z 18.165.98.97 ']' 2024-08-20T21:39:19.3449236Z + grep -r download.pytorch.org /etc/hosts 2024-08-20T21:39:19.3458632Z 18.165.98.47 download.pytorch.org 2024-08-20T21:39:19.3460339Z + sudo sed -i /download.pytorch.org/d /etc/hosts 2024-08-20T21:39:19.5541690Z + echo '18.165.98.97 download.pytorch.org' 2024-08-20T21:39:19.5542223Z + sudo tee -a /etc/hosts 2024-08-20T21:39:19.5939086Z 18.165.98.97 download.pytorch.org 2024-08-20T21:39:19.5952973Z + cat /etc/hosts 2024-08-20T21:39:19.5960780Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2024-08-20T21:39:19.5975572Z ::1 localhost6 localhost6.localdomain6 2024-08-20T21:39:19.5976158Z 18.165.98.97 download.pytorch.org 2024-08-20T21:39:19.6140158Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2024-08-20T21:39:19.6140759Z with: 2024-08-20T21:39:19.6141672Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6142747Z docker-build-dir: .ci/docker 2024-08-20T21:39:19.6143108Z working-directory: . 2024-08-20T21:39:19.6143550Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:19.6144075Z force-push: false 2024-08-20T21:39:19.6144356Z env: 2024-08-20T21:39:19.6144596Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:19.6144919Z ##[endgroup] 2024-08-20T21:39:19.6165061Z ##[group]Run set -ex 2024-08-20T21:39:19.6165401Z set -ex 2024-08-20T21:39:19.6165681Z  2024-08-20T21:39:19.6166220Z # If the docker build directory or the build script doesn't exist, the action will 2024-08-20T21:39:19.6167356Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2024-08-20T21:39:19.6168157Z # job could then download the pre-built image as usual 2024-08-20T21:39:19.6168898Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2024-08-20T21:39:19.6169582Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6170212Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6170754Z  2024-08-20T21:39:19.6171251Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2024-08-20T21:39:19.6171873Z  exit 0 2024-08-20T21:39:19.6172137Z else 2024-08-20T21:39:19.6172632Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6173091Z fi 2024-08-20T21:39:19.6173333Z  2024-08-20T21:39:19.6173789Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2024-08-20T21:39:19.6174664Z  # The docker image name already includes the ECR prefix and tag, so we can just 2024-08-20T21:39:19.6175438Z  # use it as it is, but first let's extract the tag 2024-08-20T21:39:19.6176141Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2024-08-20T21:39:19.6177007Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6177702Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6178247Z else 2024-08-20T21:39:19.6178665Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2024-08-20T21:39:19.6179328Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6180227Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6180990Z fi 2024-08-20T21:39:19.6187319Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:19.6187799Z env: 2024-08-20T21:39:19.6188058Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:19.6188396Z REPO_NAME: pytorch 2024-08-20T21:39:19.6189331Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6190372Z DOCKER_BUILD_DIR: .ci/docker 2024-08-20T21:39:19.6190850Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:19.6191355Z ##[endgroup] 2024-08-20T21:39:19.6215304Z + [[ ! -d .ci/docker ]] 2024-08-20T21:39:19.6215689Z + [[ ! -f .ci/docker/build.sh ]] 2024-08-20T21:39:19.6216052Z + echo skip=false 2024-08-20T21:39:19.6217706Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2024-08-20T21:39:19.6222018Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6223051Z ++ awk -F '[:,]' '{print $2}' 2024-08-20T21:39:19.6270374Z + DOCKER_TAG=f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6271176Z + echo docker-tag=f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6273423Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6317585Z ##[group]Run set +e 2024-08-20T21:39:19.6317926Z set +e 2024-08-20T21:39:19.6318202Z set -x 2024-08-20T21:39:19.6318469Z  2024-08-20T21:39:19.6318713Z login() { 2024-08-20T21:39:19.6319370Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-08-20T21:39:19.6320090Z } 2024-08-20T21:39:19.6320331Z  2024-08-20T21:39:19.6320585Z retry () { 2024-08-20T21:39:19.6320958Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-08-20T21:39:19.6321375Z } 2024-08-20T21:39:19.6321620Z  2024-08-20T21:39:19.6321902Z retry login "${DOCKER_REGISTRY}" 2024-08-20T21:39:19.6322289Z  2024-08-20T21:39:19.6322746Z # Check if image already exists, if it does then skip building it 2024-08-20T21:39:19.6323449Z if docker manifest inspect "${DOCKER_IMAGE}"; then 2024-08-20T21:39:19.6323927Z  exit 0 2024-08-20T21:39:19.6324198Z fi 2024-08-20T21:39:19.6324447Z  2024-08-20T21:39:19.6324920Z # NB: This part requires a full checkout. Otherwise, the merge base will 2024-08-20T21:39:19.6325754Z # be empty. The default action would be to continue rebuild the image 2024-08-20T21:39:19.6326486Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2024-08-20T21:39:19.6327243Z  # if we're on the base branch then use the parent commit 2024-08-20T21:39:19.6327817Z  MERGE_BASE=$(git rev-parse HEAD~) 2024-08-20T21:39:19.6328233Z else 2024-08-20T21:39:19.6328684Z  # otherwise we're on a PR, so use the most recent base commit 2024-08-20T21:39:19.6329353Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2024-08-20T21:39:19.6329964Z fi 2024-08-20T21:39:19.6330218Z  2024-08-20T21:39:19.6330496Z if [[ -z "${MERGE_BASE}" ]]; then 2024-08-20T21:39:19.6330986Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6331431Z  2024-08-20T21:39:19.6332063Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2024-08-20T21:39:19.6332834Z  exit 0 2024-08-20T21:39:19.6333112Z fi 2024-08-20T21:39:19.6333351Z  2024-08-20T21:39:19.6333770Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2024-08-20T21:39:19.6334760Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2024-08-20T21:39:19.6335578Z  exit 1 2024-08-20T21:39:19.6335844Z fi 2024-08-20T21:39:19.6336096Z  2024-08-20T21:39:19.6336577Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2024-08-20T21:39:19.6337534Z # If no image exists but the hash is the same as the previous hash then we should error out here 2024-08-20T21:39:19.6338412Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2024-08-20T21:39:19.6339390Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2024-08-20T21:39:19.6340501Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2024-08-20T21:39:19.6341148Z fi 2024-08-20T21:39:19.6341401Z  2024-08-20T21:39:19.6343127Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-08-20T21:39:19.6349102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:19.6349592Z env: 2024-08-20T21:39:19.6349848Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:19.6350182Z DOCKER_BUILD_DIR: .ci/docker 2024-08-20T21:39:19.6350641Z BASE_REVISION: 91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:39:19.6351739Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6352805Z DOCKER_TAG: f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:19.6353404Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:19.6353913Z ##[endgroup] 2024-08-20T21:39:19.6376544Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:19.6377188Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:19.6378760Z + aws ecr get-login-password --region us-east-1 2024-08-20T21:39:19.6380131Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:20.1592939Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-08-20T21:39:20.1594033Z Configure a credential helper to remove this warning. See 2024-08-20T21:39:20.1594968Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-08-20T21:39:20.1595514Z 2024-08-20T21:39:20.1595633Z Login Succeeded 2024-08-20T21:39:20.1604683Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:20.4127344Z { 2024-08-20T21:39:20.4127901Z "schemaVersion": 2, 2024-08-20T21:39:20.4128609Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2024-08-20T21:39:20.4129204Z "config": { 2024-08-20T21:39:20.4129735Z "mediaType": "application/vnd.docker.container.image.v1+json", 2024-08-20T21:39:20.4130558Z "size": 43879, 2024-08-20T21:39:20.4131299Z "digest": "sha256:173e558baa8c5e8faf3666eac855ea4d2dd0d8c40ab4b43dd185ce9ad29e7bdf" 2024-08-20T21:39:20.4132441Z }, 2024-08-20T21:39:20.4132859Z "layers": [ 2024-08-20T21:39:20.4133325Z { 2024-08-20T21:39:20.4134028Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4135312Z "size": 28584223, 2024-08-20T21:39:20.4136251Z "digest": "sha256:560c024910bebac6b404791af28ebd48a8289303b8377d17b67ffdfe52754f2a" 2024-08-20T21:39:20.4137298Z }, 2024-08-20T21:39:20.4137523Z { 2024-08-20T21:39:20.4137972Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4139132Z "size": 1822, 2024-08-20T21:39:20.4140452Z "digest": "sha256:aa9bd6b187ecec03af2a0f3fa040acca5618c1badc5a5d97292582e991ea7097" 2024-08-20T21:39:20.4141977Z }, 2024-08-20T21:39:20.4142499Z { 2024-08-20T21:39:20.4143491Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4144633Z "size": 313389294, 2024-08-20T21:39:20.4145915Z "digest": "sha256:69f9687e7d17deca4556be4c19e15ed2f220fedd57d6448fb109efdde333bcca" 2024-08-20T21:39:20.4147396Z }, 2024-08-20T21:39:20.4147898Z { 2024-08-20T21:39:20.4148682Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4149689Z "size": 803, 2024-08-20T21:39:20.4150447Z "digest": "sha256:06ec362dbfa65d3d7c21a53fddef5898fac85e70dff737c6128e8bc2ea28c4f0" 2024-08-20T21:39:20.4151206Z }, 2024-08-20T21:39:20.4151595Z { 2024-08-20T21:39:20.4152337Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4153249Z "size": 79404449, 2024-08-20T21:39:20.4154130Z "digest": "sha256:2ade80b916feab9cd925b35e3631e40e5e7d46e275beaf244d6f8df7c760951a" 2024-08-20T21:39:20.4155127Z }, 2024-08-20T21:39:20.4155517Z { 2024-08-20T21:39:20.4156266Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4156818Z "size": 544, 2024-08-20T21:39:20.4157590Z "digest": "sha256:6cac9f301ba2dde2fa5584fad68487edba763551240fe7bb366b53e9f2c477a6" 2024-08-20T21:39:20.4158599Z }, 2024-08-20T21:39:20.4158960Z { 2024-08-20T21:39:20.4159441Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4160067Z "size": 1257, 2024-08-20T21:39:20.4160925Z "digest": "sha256:4bea06813da86bd45a38f9dc69e8b170fc702fa2ac589b33d354d8634da8ebc7" 2024-08-20T21:39:20.4161867Z }, 2024-08-20T21:39:20.4162278Z { 2024-08-20T21:39:20.4162922Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4164066Z "size": 484, 2024-08-20T21:39:20.4165033Z "digest": "sha256:61cccf5505c680fbb4ea17ce491329835f54d87938a92431041e731bc8f15081" 2024-08-20T21:39:20.4165842Z }, 2024-08-20T21:39:20.4166054Z { 2024-08-20T21:39:20.4166535Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4167163Z "size": 110, 2024-08-20T21:39:20.4167854Z "digest": "sha256:8e3f3cec28f97f14462661a7792b7c35266afec9ef0f185d7de3cfbb7fb3b301" 2024-08-20T21:39:20.4169095Z + exit 0 2024-08-20T21:39:20.4169555Z }, 2024-08-20T21:39:20.4169957Z { 2024-08-20T21:39:20.4170668Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4171669Z "size": 3840, 2024-08-20T21:39:20.4172206Z "digest": "sha256:560dd7bc1348f038abcdd740c556c27a3e7da55a129c550866af4c55f56664f7" 2024-08-20T21:39:20.4172999Z }, 2024-08-20T21:39:20.4173222Z { 2024-08-20T21:39:20.4173629Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4174184Z "size": 1909, 2024-08-20T21:39:20.4174892Z "digest": "sha256:458f6a98383f0b3c930fd6be1c29fba1c045a1534ae2ca6d0ead1a4dff65df79" 2024-08-20T21:39:20.4175507Z }, 2024-08-20T21:39:20.4175729Z { 2024-08-20T21:39:20.4176144Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4176719Z "size": 700, 2024-08-20T21:39:20.4177299Z "digest": "sha256:56377a6a832f0b3b68d5b4ed55877182aa0b23cf55eaa8450b640d1a6b71b143" 2024-08-20T21:39:20.4177920Z }, 2024-08-20T21:39:20.4178166Z { 2024-08-20T21:39:20.4178584Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4179136Z "size": 2518627650, 2024-08-20T21:39:20.4179684Z "digest": "sha256:c58de3ad8626f704fc0305e990babfddc33e165b76a9709ec9b905d98c5861c4" 2024-08-20T21:39:20.4180582Z }, 2024-08-20T21:39:20.4180807Z { 2024-08-20T21:39:20.4181212Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4181764Z "size": 32, 2024-08-20T21:39:20.4182299Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4182995Z }, 2024-08-20T21:39:20.4183217Z { 2024-08-20T21:39:20.4183633Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4184232Z "size": 380, 2024-08-20T21:39:20.4184767Z "digest": "sha256:ac45e79c5f15ec33697913760b6ff43c920bc8a7cd1bdfe839ec66716e5707f3" 2024-08-20T21:39:20.4185485Z }, 2024-08-20T21:39:20.4185743Z { 2024-08-20T21:39:20.4186164Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4186712Z "size": 104, 2024-08-20T21:39:20.4187243Z "digest": "sha256:ccb2b2545d2c67ba8289d2ef976884fb2cfabe9bfddb9c96b937bc36280113fe" 2024-08-20T21:39:20.4187879Z }, 2024-08-20T21:39:20.4188106Z { 2024-08-20T21:39:20.4188509Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4189057Z "size": 231, 2024-08-20T21:39:20.4189590Z "digest": "sha256:290fa1a0f3a63be2981c596eece428ad03b980b6fc24b72c0f314b276d96d0f5" 2024-08-20T21:39:20.4190198Z }, 2024-08-20T21:39:20.4190417Z { 2024-08-20T21:39:20.4190832Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4191369Z "size": 2912753, 2024-08-20T21:39:20.4191919Z "digest": "sha256:0bfcff22a4179a62ac780b9234eb4bc4ca47cad831576db0902573ca4a4d732f" 2024-08-20T21:39:20.4192536Z }, 2024-08-20T21:39:20.4192745Z { 2024-08-20T21:39:20.4193268Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4193821Z "size": 1804, 2024-08-20T21:39:20.4194355Z "digest": 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"sha256:56377a6a832f0b3b68d5b4ed55877182aa0b23cf55eaa8450b640d1a6b71b143" 2024-08-20T21:39:20.4307728Z }, 2024-08-20T21:39:20.4307947Z { 2024-08-20T21:39:20.4308349Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4308898Z "size": 139, 2024-08-20T21:39:20.4309433Z "digest": "sha256:bd37ba1d798e3bf39aa9d2c6925716bc939cb2be1bb15d538a51f98241c95b58" 2024-08-20T21:39:20.4310045Z }, 2024-08-20T21:39:20.4310264Z { 2024-08-20T21:39:20.4310744Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4311283Z "size": 32, 2024-08-20T21:39:20.4311819Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4312440Z }, 2024-08-20T21:39:20.4312654Z { 2024-08-20T21:39:20.4313072Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4313621Z "size": 161, 2024-08-20T21:39:20.4314139Z "digest": "sha256:853f21dd544e788ef8ba43c79a5c7524ff37c0ce677d8118c083b9af1b82218b" 2024-08-20T21:39:20.4314751Z }, 2024-08-20T21:39:20.4314970Z { 2024-08-20T21:39:20.4315371Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4315919Z "size": 907, 2024-08-20T21:39:20.4316448Z "digest": "sha256:b486bcf36631d9a2759f26230b000ef1ad0c40514a677fecaeb62ed9de0d87d6" 2024-08-20T21:39:20.4317051Z }, 2024-08-20T21:39:20.4317274Z { 2024-08-20T21:39:20.4317689Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4318227Z "size": 700, 2024-08-20T21:39:20.4318752Z "digest": "sha256:56377a6a832f0b3b68d5b4ed55877182aa0b23cf55eaa8450b640d1a6b71b143" 2024-08-20T21:39:20.4319365Z }, 2024-08-20T21:39:20.4319578Z { 2024-08-20T21:39:20.4319998Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4320547Z "size": 134, 2024-08-20T21:39:20.4321073Z "digest": "sha256:6dbdf32b350015da13d788bbe8ddacfa91519eb15dad236a67684e3a155ef6ab" 2024-08-20T21:39:20.4321699Z }, 2024-08-20T21:39:20.4321919Z { 2024-08-20T21:39:20.4322326Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4322874Z "size": 32, 2024-08-20T21:39:20.4323406Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4324013Z }, 2024-08-20T21:39:20.4324236Z { 2024-08-20T21:39:20.4324653Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4325186Z "size": 159, 2024-08-20T21:39:20.4325727Z "digest": "sha256:db0f34e6cff3d47171bbe41996f40066cfa9b40683cbf55cf92bb4d4ef8046e8" 2024-08-20T21:39:20.4326354Z }, 2024-08-20T21:39:20.4326562Z { 2024-08-20T21:39:20.4327079Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4327696Z "size": 1578, 2024-08-20T21:39:20.4328221Z "digest": "sha256:f429cfe7d4e107c5fc736fbb2e856662a68fb10951f14394f69a0250f60ba97a" 2024-08-20T21:39:20.4328837Z }, 2024-08-20T21:39:20.4329058Z { 2024-08-20T21:39:20.4329461Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4330009Z "size": 32, 2024-08-20T21:39:20.4330540Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4331146Z }, 2024-08-20T21:39:20.4331367Z { 2024-08-20T21:39:20.4331781Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4332315Z "size": 136, 2024-08-20T21:39:20.4332834Z "digest": "sha256:0c35c695d05c5992870d3ef7616faf4555a8064657a773d91f696c270ca5eccc" 2024-08-20T21:39:20.4333436Z }, 2024-08-20T21:39:20.4333644Z { 2024-08-20T21:39:20.4334059Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4334606Z "size": 378, 2024-08-20T21:39:20.4335140Z "digest": "sha256:b8afb65d7ee84dd1ac7d2f5f6a80091236b2cd049181cb55fe96f4f14149cc9d" 2024-08-20T21:39:20.4335763Z }, 2024-08-20T21:39:20.4335984Z { 2024-08-20T21:39:20.4336387Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4336933Z "size": 32, 2024-08-20T21:39:20.4337462Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4338068Z }, 2024-08-20T21:39:20.4338290Z { 2024-08-20T21:39:20.4338705Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4339241Z "size": 104, 2024-08-20T21:39:20.4339831Z "digest": "sha256:ae3235473a9a058537e08ad811c7ad8d654c422334cf7a6e76c7b2b15aabaf49" 2024-08-20T21:39:20.4340441Z }, 2024-08-20T21:39:20.4340649Z { 2024-08-20T21:39:20.4341066Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4341610Z "size": 1841, 2024-08-20T21:39:20.4342127Z "digest": "sha256:191029fd06b5b5ee51f000e213de98085bd5c333a1b202e0626eedd0ad2f0cdb" 2024-08-20T21:39:20.4342740Z }, 2024-08-20T21:39:20.4342962Z { 2024-08-20T21:39:20.4343364Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4343912Z "size": 7529621, 2024-08-20T21:39:20.4344454Z "digest": "sha256:0919a6cb0574b58bc541800c173ff8df1ade4725d1ce47ab7daab4eb15c1cb85" 2024-08-20T21:39:20.4345057Z }, 2024-08-20T21:39:20.4345277Z { 2024-08-20T21:39:20.4345688Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4346218Z "size": 106, 2024-08-20T21:39:20.4346741Z "digest": "sha256:57df54ccc48d8b571c93d9443196c228ed5442e6073060ae25254ba0d1021c3b" 2024-08-20T21:39:20.4347349Z }, 2024-08-20T21:39:20.4347556Z { 2024-08-20T21:39:20.4347970Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4348516Z "size": 163, 2024-08-20T21:39:20.4349036Z "digest": "sha256:2f70f4bf49c575c7ba91d52746c7efd76ce8aee1f51c416df05a699c83d4182a" 2024-08-20T21:39:20.4349660Z }, 2024-08-20T21:39:20.4349880Z { 2024-08-20T21:39:20.4350283Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4350826Z "size": 7943, 2024-08-20T21:39:20.4351344Z "digest": "sha256:d74bc8da71853e6970372c75515303fc79772a1c179e69b81f100cd4d744bdc5" 2024-08-20T21:39:20.4351935Z }, 2024-08-20T21:39:20.4352154Z { 2024-08-20T21:39:20.4352566Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4353099Z "size": 8069, 2024-08-20T21:39:20.4353632Z "digest": "sha256:1dbc93c8a18c3ee472f51f243f0937c68274fca8e055b8174124b67b585eae8b" 2024-08-20T21:39:20.4354243Z }, 2024-08-20T21:39:20.4354450Z { 2024-08-20T21:39:20.4354868Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4355414Z "size": 303, 2024-08-20T21:39:20.4355937Z "digest": "sha256:2cb96e6c848ce630b9309ceb730edc4db3ef27ee71af40b153a66214a0fbb524" 2024-08-20T21:39:20.4356620Z }, 2024-08-20T21:39:20.4356842Z { 2024-08-20T21:39:20.4357247Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4357796Z "size": 32, 2024-08-20T21:39:20.4358330Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4358942Z }, 2024-08-20T21:39:20.4359163Z { 2024-08-20T21:39:20.4359576Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4360110Z "size": 108, 2024-08-20T21:39:20.4360628Z "digest": "sha256:746b055f825fd9790f6d301cd029907fc7de07647174236e22d65e586ec3b10e" 2024-08-20T21:39:20.4361229Z }, 2024-08-20T21:39:20.4361437Z { 2024-08-20T21:39:20.4361858Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4362406Z "size": 54145652, 2024-08-20T21:39:20.4362929Z "digest": "sha256:6708ec345268c2801d69b59f5ac1b93175efee3372b7a24133e66a2709d53ac9" 2024-08-20T21:39:20.4363533Z }, 2024-08-20T21:39:20.4363943Z { 2024-08-20T21:39:20.4364350Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:39:20.4364899Z "size": 32, 2024-08-20T21:39:20.4365447Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:39:20.4366056Z } 2024-08-20T21:39:20.4366275Z ] 2024-08-20T21:39:20.4366493Z } 2024-08-20T21:39:20.4499178Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/} 2024-08-20T21:39:20.4499627Z tag=${ECR_DOCKER_IMAGE##*/} 2024-08-20T21:39:20.4500159Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2024-08-20T21:39:20.4507081Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:20.4507578Z env: 2024-08-20T21:39:20.4507829Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:20.4508790Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:20.4509802Z ##[endgroup] 2024-08-20T21:39:20.4535436Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-focal-py3.8-clang10-f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:20.4613540Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2024-08-20T21:39:20.4614106Z with: 2024-08-20T21:39:20.4614987Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:20.4616134Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:20.4616628Z env: 2024-08-20T21:39:20.4616876Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:20.4617197Z ##[endgroup] 2024-08-20T21:39:20.4660493Z ##[group]Run set -x 2024-08-20T21:39:20.4660807Z set -x 2024-08-20T21:39:20.4661070Z set +e 2024-08-20T21:39:20.4661337Z  2024-08-20T21:39:20.4661577Z login() { 2024-08-20T21:39:20.4662227Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-08-20T21:39:20.4662954Z } 2024-08-20T21:39:20.4663204Z  2024-08-20T21:39:20.4663486Z retry () { 2024-08-20T21:39:20.4663835Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-08-20T21:39:20.4664266Z } 2024-08-20T21:39:20.4664512Z  2024-08-20T21:39:20.4664785Z retry login "${DOCKER_REGISTRY}" 2024-08-20T21:39:20.4665184Z  2024-08-20T21:39:20.4665430Z set -e 2024-08-20T21:39:20.4665868Z # ignore output since only exit code is used for conditional 2024-08-20T21:39:20.4666561Z # only pull docker image if it's not available locally 2024-08-20T21:39:20.4667322Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2024-08-20T21:39:20.4668011Z  retry docker pull "${DOCKER_IMAGE}" 2024-08-20T21:39:20.4668417Z fi 2024-08-20T21:39:20.4674274Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:39:20.4674769Z env: 2024-08-20T21:39:20.4675122Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:39:20.4676104Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:20.4677237Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:20.4677755Z ##[endgroup] 2024-08-20T21:39:20.4700381Z + set +e 2024-08-20T21:39:20.4701074Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:20.4701706Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:20.4704617Z + aws ecr get-login-password --region us-east-1 2024-08-20T21:39:20.4705749Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:39:20.9899174Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-08-20T21:39:20.9900188Z Configure a credential helper to remove this warning. See 2024-08-20T21:39:20.9901042Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-08-20T21:39:20.9901590Z 2024-08-20T21:39:20.9901713Z Login Succeeded 2024-08-20T21:39:20.9910216Z + set -e 2024-08-20T21:39:20.9911362Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:21.0038421Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:21.0040261Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:39:21.2416442Z f6d216893d65c7b8ae43df4daaf247db808378e9: Pulling from pytorch/pytorch-linux-focal-py3.8-clang10 2024-08-20T21:39:21.2419435Z 560c024910be: Pulling fs layer 2024-08-20T21:39:21.2420455Z aa9bd6b187ec: Pulling fs layer 2024-08-20T21:39:21.2421488Z 69f9687e7d17: Pulling fs layer 2024-08-20T21:39:21.2422137Z 06ec362dbfa6: Pulling fs layer 2024-08-20T21:39:21.2422777Z 2ade80b916fe: Pulling fs layer 2024-08-20T21:39:21.2423651Z 6cac9f301ba2: Pulling fs layer 2024-08-20T21:39:21.2424262Z 4bea06813da8: Pulling fs layer 2024-08-20T21:39:21.2424860Z 61cccf5505c6: Pulling fs layer 2024-08-20T21:39:21.2425506Z 8e3f3cec28f9: Pulling fs layer 2024-08-20T21:39:21.2426078Z 560dd7bc1348: Pulling fs layer 2024-08-20T21:39:21.2426664Z 458f6a98383f: Pulling fs layer 2024-08-20T21:39:21.2427296Z 56377a6a832f: Pulling fs layer 2024-08-20T21:39:21.2427939Z c58de3ad8626: Pulling fs layer 2024-08-20T21:39:21.2428625Z 4f4fb700ef54: Pulling fs layer 2024-08-20T21:39:21.2429256Z ac45e79c5f15: Pulling fs layer 2024-08-20T21:39:21.2429801Z ccb2b2545d2c: Pulling fs layer 2024-08-20T21:39:21.2430460Z 290fa1a0f3a6: Pulling fs layer 2024-08-20T21:39:21.2431143Z 6cac9f301ba2: Waiting 2024-08-20T21:39:21.2431700Z 0bfcff22a417: Pulling fs layer 2024-08-20T21:39:21.2432310Z 4bea06813da8: Waiting 2024-08-20T21:39:21.2432838Z aa8a043f7b1b: Pulling fs layer 2024-08-20T21:39:21.2433448Z 61cccf5505c6: Waiting 2024-08-20T21:39:21.2433988Z cba0fa289369: Pulling fs layer 2024-08-20T21:39:21.2434612Z 5eab34196884: Pulling fs layer 2024-08-20T21:39:21.2435231Z 8e3f3cec28f9: Waiting 2024-08-20T21:39:21.2435809Z a22ef1703a8c: Pulling fs layer 2024-08-20T21:39:21.2436475Z 560dd7bc1348: Waiting 2024-08-20T21:39:21.2437041Z 9a72cc443726: Pulling fs layer 2024-08-20T21:39:21.2437603Z d7b217dc8199: Pulling fs layer 2024-08-20T21:39:21.2437977Z 458f6a98383f: Waiting 2024-08-20T21:39:21.2438291Z 48e6a281c7d9: Pulling fs layer 2024-08-20T21:39:21.2438678Z 82c9d2a93bf4: Pulling fs layer 2024-08-20T21:39:21.2439009Z 56377a6a832f: Waiting 2024-08-20T21:39:21.2439322Z e3e33374dd0e: Pulling fs layer 2024-08-20T21:39:21.2439705Z 625997c4b7ef: Pulling fs layer 2024-08-20T21:39:21.2440037Z c58de3ad8626: Waiting 2024-08-20T21:39:21.2440349Z 19111a264ca3: Pulling fs layer 2024-08-20T21:39:21.2440704Z b2d2d554df79: Pulling fs layer 2024-08-20T21:39:21.2441048Z e1d230922d57: Pulling fs layer 2024-08-20T21:39:21.2441567Z 4f4fb700ef54: Waiting 2024-08-20T21:39:21.2441867Z a22ef1703a8c: Waiting 2024-08-20T21:39:21.2442172Z 93b771f65467: Pulling fs layer 2024-08-20T21:39:21.2442511Z ac45e79c5f15: Waiting 2024-08-20T21:39:21.2442839Z 06ec362dbfa6: Waiting 2024-08-20T21:39:21.2443174Z 238cde6a563b: Pulling fs layer 2024-08-20T21:39:21.2443515Z ccb2b2545d2c: Waiting 2024-08-20T21:39:21.2443824Z 746b8dc04fcc: Pulling fs layer 2024-08-20T21:39:21.2444152Z 290fa1a0f3a6: Waiting 2024-08-20T21:39:21.2444441Z 9a72cc443726: Waiting 2024-08-20T21:39:21.2444717Z 0bfcff22a417: Waiting 2024-08-20T21:39:21.2445008Z d7b217dc8199: Waiting 2024-08-20T21:39:21.2445310Z 3a6850ae1445: Pulling fs layer 2024-08-20T21:39:21.2445769Z 82c9d2a93bf4: Waiting 2024-08-20T21:39:21.2446066Z aa8a043f7b1b: Waiting 2024-08-20T21:39:21.2446373Z 29592c685ca6: Pulling fs layer 2024-08-20T21:39:21.2446825Z 48e6a281c7d9: Waiting 2024-08-20T21:39:21.2447122Z b2d2d554df79: Waiting 2024-08-20T21:39:21.2447420Z cba0fa289369: Waiting 2024-08-20T21:39:21.2447718Z 588118bac476: Pulling fs layer 2024-08-20T21:39:21.2448058Z e1d230922d57: Waiting 2024-08-20T21:39:21.2448357Z e3e33374dd0e: Waiting 2024-08-20T21:39:21.2448633Z 93b771f65467: Waiting 2024-08-20T21:39:21.2448916Z 625997c4b7ef: Waiting 2024-08-20T21:39:21.2449220Z 8262af1e5881: Pulling fs layer 2024-08-20T21:39:21.2449632Z 19111a264ca3: Waiting 2024-08-20T21:39:21.2449939Z 2ade80b916fe: Waiting 2024-08-20T21:39:21.2450227Z 5eab34196884: Waiting 2024-08-20T21:39:21.2450580Z 3b5f1897cce0: Pulling fs layer 2024-08-20T21:39:21.2450917Z 238cde6a563b: Waiting 2024-08-20T21:39:21.2451318Z 3a6850ae1445: Waiting 2024-08-20T21:39:21.2451598Z 746b8dc04fcc: Waiting 2024-08-20T21:39:21.2451902Z f9f8b939bc81: Pulling fs layer 2024-08-20T21:39:21.2452298Z 29592c685ca6: Waiting 2024-08-20T21:39:21.2452576Z 3b5f1897cce0: Waiting 2024-08-20T21:39:21.2452880Z 6a99a1e034c8: Pulling fs layer 2024-08-20T21:39:21.2453217Z 8262af1e5881: Waiting 2024-08-20T21:39:21.2453500Z 588118bac476: Waiting 2024-08-20T21:39:21.2453883Z e27e246b6cc7: Pulling fs layer 2024-08-20T21:39:21.2454223Z f9f8b939bc81: Waiting 2024-08-20T21:39:21.2454678Z bc8aed2bfd8a: Pulling fs layer 2024-08-20T21:39:21.2455029Z 6a99a1e034c8: Waiting 2024-08-20T21:39:21.2455337Z 634a8812588d: Pulling fs layer 2024-08-20T21:39:21.2455678Z 8046c6c7b96a: Pulling fs layer 2024-08-20T21:39:21.2456019Z e27e246b6cc7: Waiting 2024-08-20T21:39:21.2456329Z 08f33edbdf67: Pulling fs layer 2024-08-20T21:39:21.2456660Z bc8aed2bfd8a: Waiting 2024-08-20T21:39:21.2456976Z e3d74c875cfa: Pulling fs layer 2024-08-20T21:39:21.2457316Z 8046c6c7b96a: Waiting 2024-08-20T21:39:21.2457595Z 08f33edbdf67: Waiting 2024-08-20T21:39:21.2457883Z e3d74c875cfa: Waiting 2024-08-20T21:39:21.2458187Z 97919ef421b9: Pulling fs layer 2024-08-20T21:39:21.2458530Z b6afacca525a: Pulling fs layer 2024-08-20T21:39:21.2458888Z a5720a68cdf5: Pulling fs layer 2024-08-20T21:39:21.2459238Z 89653ee2c271: Pulling fs layer 2024-08-20T21:39:21.2459556Z 97919ef421b9: Waiting 2024-08-20T21:39:21.2459864Z b8a5e53ddd2e: Pulling fs layer 2024-08-20T21:39:21.2460220Z c49e628cf6b5: Pulling fs layer 2024-08-20T21:39:21.2460565Z cef26ce44cc2: Pulling fs layer 2024-08-20T21:39:21.2460901Z 89653ee2c271: Waiting 2024-08-20T21:39:21.2461192Z b8a5e53ddd2e: Waiting 2024-08-20T21:39:21.2461489Z ab02e2c75527: Pulling fs layer 2024-08-20T21:39:21.2461840Z 55b6461fe1e3: Pulling fs layer 2024-08-20T21:39:21.2462208Z c49e628cf6b5: Waiting 2024-08-20T21:39:21.2462493Z b6afacca525a: Waiting 2024-08-20T21:39:21.2462790Z cef26ce44cc2: Waiting 2024-08-20T21:39:21.2463155Z d648481b8c36: Pulling fs layer 2024-08-20T21:39:21.2463510Z f39100df5ad6: Pulling fs layer 2024-08-20T21:39:21.2463867Z c77cfb060ba3: Pulling fs layer 2024-08-20T21:39:21.2464195Z ab02e2c75527: Waiting 2024-08-20T21:39:21.2464504Z e39b58666cb3: Pulling fs layer 2024-08-20T21:39:21.2464840Z 55b6461fe1e3: Waiting 2024-08-20T21:39:21.2465117Z d648481b8c36: Waiting 2024-08-20T21:39:21.2465423Z bd37ba1d798e: Pulling fs layer 2024-08-20T21:39:21.2465878Z 853f21dd544e: Pulling fs layer 2024-08-20T21:39:21.2466493Z c77cfb060ba3: Waiting 2024-08-20T21:39:21.2466949Z b486bcf36631: Pulling fs layer 2024-08-20T21:39:21.2467294Z a5720a68cdf5: Waiting 2024-08-20T21:39:21.2467661Z 6dbdf32b3500: Pulling fs layer 2024-08-20T21:39:21.2467988Z 853f21dd544e: Waiting 2024-08-20T21:39:21.2468280Z b486bcf36631: Waiting 2024-08-20T21:39:21.2468595Z db0f34e6cff3: Pulling fs layer 2024-08-20T21:39:21.2468945Z f429cfe7d4e1: Pulling fs layer 2024-08-20T21:39:21.2469292Z db0f34e6cff3: Waiting 2024-08-20T21:39:21.2469604Z 0c35c695d05c: Pulling fs layer 2024-08-20T21:39:21.2469955Z b8afb65d7ee8: Pulling fs layer 2024-08-20T21:39:21.2470298Z 0c35c695d05c: Waiting 2024-08-20T21:39:21.2470581Z bd37ba1d798e: Waiting 2024-08-20T21:39:21.2470896Z ae3235473a9a: Pulling fs layer 2024-08-20T21:39:21.2471241Z b8afb65d7ee8: Waiting 2024-08-20T21:39:21.2471538Z 191029fd06b5: Pulling fs layer 2024-08-20T21:39:21.2471893Z 0919a6cb0574: Pulling fs layer 2024-08-20T21:39:21.2472252Z 57df54ccc48d: Pulling fs layer 2024-08-20T21:39:21.2472772Z 2f70f4bf49c5: Pulling fs layer 2024-08-20T21:39:21.2473135Z d74bc8da7185: Pulling fs layer 2024-08-20T21:39:21.2473482Z 2f70f4bf49c5: Waiting 2024-08-20T21:39:21.2473782Z 1dbc93c8a18c: Pulling fs layer 2024-08-20T21:39:21.2474124Z 0919a6cb0574: Waiting 2024-08-20T21:39:21.2474438Z 2cb96e6c848c: Pulling fs layer 2024-08-20T21:39:21.2474765Z 57df54ccc48d: Waiting 2024-08-20T21:39:21.2475058Z d74bc8da7185: Waiting 2024-08-20T21:39:21.2475350Z 2cb96e6c848c: Waiting 2024-08-20T21:39:21.2475641Z 746b055f825f: Pulling fs layer 2024-08-20T21:39:21.2475977Z 1dbc93c8a18c: Waiting 2024-08-20T21:39:21.2476372Z 6708ec345268: Pulling fs layer 2024-08-20T21:39:21.2476720Z 746b055f825f: Waiting 2024-08-20T21:39:21.2477006Z 6708ec345268: Waiting 2024-08-20T21:39:21.3075761Z aa9bd6b187ec: Verifying Checksum 2024-08-20T21:39:21.3076493Z aa9bd6b187ec: Download complete 2024-08-20T21:39:21.3713936Z 06ec362dbfa6: Verifying Checksum 2024-08-20T21:39:21.3714693Z 06ec362dbfa6: Download complete 2024-08-20T21:39:21.5766836Z 560c024910be: Download complete 2024-08-20T21:39:21.6441997Z 6cac9f301ba2: Verifying Checksum 2024-08-20T21:39:21.6443032Z 6cac9f301ba2: Download complete 2024-08-20T21:39:21.7176146Z 4bea06813da8: Verifying Checksum 2024-08-20T21:39:21.7176931Z 4bea06813da8: Download complete 2024-08-20T21:39:21.7806100Z 61cccf5505c6: Download complete 2024-08-20T21:39:21.8704199Z 8e3f3cec28f9: Verifying Checksum 2024-08-20T21:39:21.8705106Z 8e3f3cec28f9: Download complete 2024-08-20T21:39:21.9352037Z 560dd7bc1348: Verifying Checksum 2024-08-20T21:39:21.9352693Z 560dd7bc1348: Download complete 2024-08-20T21:39:22.0289376Z 458f6a98383f: Verifying Checksum 2024-08-20T21:39:22.0290519Z 458f6a98383f: Download complete 2024-08-20T21:39:22.1025899Z 56377a6a832f: Download complete 2024-08-20T21:39:22.2219995Z 2ade80b916fe: Verifying Checksum 2024-08-20T21:39:22.2220684Z 2ade80b916fe: Download complete 2024-08-20T21:39:22.2295653Z 4f4fb700ef54: Verifying Checksum 2024-08-20T21:39:22.2296347Z 4f4fb700ef54: Download complete 2024-08-20T21:39:22.3083234Z ac45e79c5f15: Download complete 2024-08-20T21:39:22.3821845Z ccb2b2545d2c: Verifying Checksum 2024-08-20T21:39:22.3822628Z ccb2b2545d2c: Download complete 2024-08-20T21:39:22.4495720Z 290fa1a0f3a6: Download complete 2024-08-20T21:39:22.4598103Z 560c024910be: Pull complete 2024-08-20T21:39:22.4793176Z aa9bd6b187ec: Pull complete 2024-08-20T21:39:22.5430419Z 0bfcff22a417: Verifying Checksum 2024-08-20T21:39:22.5430883Z 0bfcff22a417: Download complete 2024-08-20T21:39:22.6024138Z aa8a043f7b1b: Verifying Checksum 2024-08-20T21:39:22.6024772Z aa8a043f7b1b: Download complete 2024-08-20T21:39:22.6691121Z cba0fa289369: Verifying Checksum 2024-08-20T21:39:22.6691691Z cba0fa289369: Download complete 2024-08-20T21:39:22.7456555Z 5eab34196884: Download complete 2024-08-20T21:39:22.8139155Z a22ef1703a8c: Verifying Checksum 2024-08-20T21:39:22.8139721Z a22ef1703a8c: Download complete 2024-08-20T21:39:22.8851778Z 9a72cc443726: Download complete 2024-08-20T21:39:24.1519688Z d7b217dc8199: Verifying Checksum 2024-08-20T21:39:24.1520418Z d7b217dc8199: Download complete 2024-08-20T21:39:24.2308249Z 48e6a281c7d9: Verifying Checksum 2024-08-20T21:39:24.2308808Z 48e6a281c7d9: Download complete 2024-08-20T21:39:24.2904145Z 82c9d2a93bf4: Verifying Checksum 2024-08-20T21:39:24.2904634Z 82c9d2a93bf4: Download complete 2024-08-20T21:39:24.3627953Z e3e33374dd0e: Verifying Checksum 2024-08-20T21:39:24.3628423Z e3e33374dd0e: Download complete 2024-08-20T21:39:24.4204075Z 69f9687e7d17: Verifying Checksum 2024-08-20T21:39:24.4204554Z 69f9687e7d17: Download complete 2024-08-20T21:39:24.4326146Z 625997c4b7ef: Verifying Checksum 2024-08-20T21:39:24.4326887Z 625997c4b7ef: Download complete 2024-08-20T21:39:24.4870807Z 19111a264ca3: Verifying Checksum 2024-08-20T21:39:24.4871503Z 19111a264ca3: Download complete 2024-08-20T21:39:24.5548981Z e1d230922d57: Verifying Checksum 2024-08-20T21:39:24.5549974Z e1d230922d57: Download complete 2024-08-20T21:39:24.6219964Z 93b771f65467: Verifying Checksum 2024-08-20T21:39:24.6221071Z 93b771f65467: Download complete 2024-08-20T21:39:24.6954635Z 238cde6a563b: Verifying Checksum 2024-08-20T21:39:24.6955349Z 238cde6a563b: Download complete 2024-08-20T21:39:24.7612039Z 746b8dc04fcc: Verifying Checksum 2024-08-20T21:39:24.7612813Z 746b8dc04fcc: Download complete 2024-08-20T21:39:24.8327996Z 3a6850ae1445: Verifying Checksum 2024-08-20T21:39:24.8328698Z 3a6850ae1445: Download complete 2024-08-20T21:39:24.9020546Z 29592c685ca6: Verifying Checksum 2024-08-20T21:39:24.9021369Z 29592c685ca6: Download complete 2024-08-20T21:39:24.9647967Z 588118bac476: Download complete 2024-08-20T21:39:25.0374703Z 8262af1e5881: Verifying Checksum 2024-08-20T21:39:25.0375382Z 8262af1e5881: Download complete 2024-08-20T21:39:27.2078708Z 3b5f1897cce0: Verifying Checksum 2024-08-20T21:39:27.2079353Z 3b5f1897cce0: Download complete 2024-08-20T21:39:27.2869362Z f9f8b939bc81: Download complete 2024-08-20T21:39:27.3549600Z 6a99a1e034c8: Download complete 2024-08-20T21:39:30.4187701Z b2d2d554df79: Verifying Checksum 2024-08-20T21:39:30.4188531Z b2d2d554df79: Download complete 2024-08-20T21:39:30.5045939Z bc8aed2bfd8a: Download complete 2024-08-20T21:39:30.5775014Z 634a8812588d: Verifying Checksum 2024-08-20T21:39:30.5775810Z 634a8812588d: Download complete 2024-08-20T21:39:31.0799332Z 8046c6c7b96a: Download complete 2024-08-20T21:39:31.1626494Z 08f33edbdf67: Verifying Checksum 2024-08-20T21:39:31.1627024Z 08f33edbdf67: Download complete 2024-08-20T21:39:31.2358511Z e3d74c875cfa: Verifying Checksum 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2024-08-20T21:39:32.3997309Z d648481b8c36: Verifying Checksum 2024-08-20T21:39:32.3997823Z d648481b8c36: Download complete 2024-08-20T21:39:45.2612632Z 69f9687e7d17: Pull complete 2024-08-20T21:39:45.4745951Z 06ec362dbfa6: Pull complete 2024-08-20T21:40:04.4583019Z 2ade80b916fe: Pull complete 2024-08-20T21:40:04.6698636Z 6cac9f301ba2: Pull complete 2024-08-20T21:40:04.8819245Z 4bea06813da8: Pull complete 2024-08-20T21:40:05.0953629Z 61cccf5505c6: Pull complete 2024-08-20T21:40:05.3177692Z 8e3f3cec28f9: Pull complete 2024-08-20T21:40:05.5312877Z 560dd7bc1348: Pull complete 2024-08-20T21:40:05.7485245Z 458f6a98383f: Pull complete 2024-08-20T21:40:05.9318105Z 56377a6a832f: Pull complete 2024-08-20T21:40:11.4484923Z e27e246b6cc7: Verifying Checksum 2024-08-20T21:40:11.4486530Z e27e246b6cc7: Download complete 2024-08-20T21:40:11.5255750Z c77cfb060ba3: Verifying Checksum 2024-08-20T21:40:11.5257595Z c77cfb060ba3: Download complete 2024-08-20T21:40:11.5947113Z e39b58666cb3: Verifying Checksum 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6708ec345268: Pull complete 2024-08-20T21:45:11.2805554Z Digest: sha256:da4f2a32feabaf99db66bd265452bbdfcbf15b68d62a2c99e376381cf9847056 2024-08-20T21:45:11.2883493Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:45:11.2885366Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:45:11.2926095Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT" 2024-08-20T21:45:11.2927131Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT" 2024-08-20T21:45:11.2935736Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:11.2936232Z env: 2024-08-20T21:45:11.2936486Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:11.2936812Z ##[endgroup] 2024-08-20T21:45:11.3017482Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-08-20T21:45:11.3018257Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-08-20T21:45:11.3018950Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2024-08-20T21:45:11.3019589Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:45:11.3025971Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:11.3026463Z env: 2024-08-20T21:45:11.3026714Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:11.3027030Z ##[endgroup] 2024-08-20T21:45:11.8806922Z Defaulting to user installation because normal site-packages is not writeable 2024-08-20T21:45:11.9082352Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.9/site-packages (5.9.1) 2024-08-20T21:45:11.9088384Z Requirement already satisfied: nvidia-ml-py==11.525.84 in /home/ec2-user/.local/lib/python3.9/site-packages (11.525.84) 2024-08-20T21:45:12.0606428Z Prepare all required actions 2024-08-20T21:45:12.0607374Z Getting action download info 2024-08-20T21:45:12.1756021Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2024-08-20T21:45:12.3795930Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a) 2024-08-20T21:45:12.5072269Z ##[group]Run ./.github/actions/download-build-artifacts 2024-08-20T21:45:12.5072989Z with: 2024-08-20T21:45:12.5073255Z name: linux-focal-py3.8-clang10 2024-08-20T21:45:12.5073635Z s3-bucket: gha-artifacts 2024-08-20T21:45:12.5073954Z env: 2024-08-20T21:45:12.5074192Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:12.5074512Z ##[endgroup] 2024-08-20T21:45:12.5108930Z ##[group]Run seemethere/download-artifact-s3@v4 2024-08-20T21:45:12.5109357Z with: 2024-08-20T21:45:12.5109655Z name: linux-focal-py3.8-clang10 2024-08-20T21:45:12.5110041Z s3-bucket: gha-artifacts 2024-08-20T21:45:12.5110408Z region: us-east-1 2024-08-20T21:45:12.5110672Z env: 2024-08-20T21:45:12.5110922Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:12.5111245Z ##[endgroup] 2024-08-20T21:45:12.9922268Z (node:103477) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-08-20T21:45:12.9922995Z 2024-08-20T21:45:12.9923261Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-08-20T21:45:12.9924134Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-08-20T21:45:12.9925510Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-08-20T21:45:13.0754874Z Found 1 objects with prefix pytorch/pytorch/10479309237/linux-focal-py3.8-clang10/ 2024-08-20T21:45:13.0755930Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-08-20T21:45:20.8672733Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-08-20T21:45:20.8679308Z Artifact download has finished successfully 2024-08-20T21:45:20.8956046Z ##[group]Run unzip -o artifacts.zip 2024-08-20T21:45:20.8956480Z unzip -o artifacts.zip 2024-08-20T21:45:20.8962489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:20.8962969Z env: 2024-08-20T21:45:20.8963224Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:20.8963541Z ##[endgroup] 2024-08-20T21:45:20.9155022Z Archive: artifacts.zip 2024-08-20T21:45:20.9155773Z creating: dist/ 2024-08-20T21:45:21.8484574Z inflating: dist/torch-2.5.0a0+git40ec5f6-cp38-cp38-linux_x86_64.whl 2024-08-20T21:45:21.8485291Z creating: build/custom_test_artifacts/ 2024-08-20T21:45:21.8485883Z creating: build/custom_test_artifacts/custom-op-build/ 2024-08-20T21:45:21.8486832Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2024-08-20T21:45:21.8488433Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2024-08-20T21:45:21.8489570Z inflating: 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build/bin/List_test 2024-08-20T21:45:26.7915751Z inflating: build/bin/IListRef_test 2024-08-20T21:45:26.8035221Z inflating: build/bin/kernel_function_legacy_test 2024-08-20T21:45:26.8080447Z inflating: build/bin/xla_tensor_test 2024-08-20T21:45:26.8137867Z inflating: build/bin/KernelFunction_test 2024-08-20T21:45:26.8226227Z inflating: build/bin/kernel_function_test 2024-08-20T21:45:26.8347537Z inflating: build/bin/kernel_lambda_legacy_test 2024-08-20T21:45:26.8442418Z inflating: build/bin/kernel_lambda_test 2024-08-20T21:45:26.8531882Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2024-08-20T21:45:26.8586112Z inflating: build/bin/kernel_stackbased_test 2024-08-20T21:45:26.8630438Z inflating: build/bin/CppSignature_test 2024-08-20T21:45:26.8673694Z inflating: build/bin/op_allowlist_test 2024-08-20T21:45:26.8728478Z inflating: build/bin/inline_container_test 2024-08-20T21:45:26.8777416Z inflating: build/bin/backend_fallback_test 2024-08-20T21:45:26.9080219Z inflating: build/bin/op_registration_test 2024-08-20T21:45:26.9127586Z inflating: build/bin/test_edge_op_registration 2024-08-20T21:45:26.9142808Z inflating: build/bin/tutorial_tensorexpr 2024-08-20T21:45:26.9146724Z inflating: build/bin/torch_shm_manager 2024-08-20T21:45:27.0130493Z inflating: build/bin/test_tensorexpr 2024-08-20T21:45:27.0684918Z inflating: build/bin/test_jit 2024-08-20T21:45:27.0685694Z creating: .additional_ci_files/ 2024-08-20T21:45:27.0742062Z inflating: .additional_ci_files/test-times.json 2024-08-20T21:45:27.0969379Z inflating: .additional_ci_files/test-class-times.json 2024-08-20T21:45:27.1003333Z ##[group]Run rm artifacts.zip 2024-08-20T21:45:27.1003716Z rm artifacts.zip 2024-08-20T21:45:27.1009721Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:27.1010218Z env: 2024-08-20T21:45:27.1010465Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.1010795Z ##[endgroup] 2024-08-20T21:45:27.1286199Z ##[group]Run df -H 2024-08-20T21:45:27.1286598Z df -H 2024-08-20T21:45:27.1292057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:27.1292537Z env: 2024-08-20T21:45:27.1292800Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.1293129Z ##[endgroup] 2024-08-20T21:45:27.1558015Z Filesystem Size Used Avail Use% Mounted on 2024-08-20T21:45:27.1558948Z devtmpfs 4.2M 0 4.2M 0% /dev 2024-08-20T21:45:27.1559436Z tmpfs 8.2G 0 8.2G 0% /dev/shm 2024-08-20T21:45:27.1559897Z tmpfs 3.3G 488k 3.3G 1% /run 2024-08-20T21:45:27.1560617Z /dev/nvme0n1p1 161G 39G 123G 24% / 2024-08-20T21:45:27.1561081Z tmpfs 8.2G 8.2k 8.2G 1% /tmp 2024-08-20T21:45:27.1561598Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2024-08-20T21:45:27.1691241Z Prepare all required actions 2024-08-20T21:45:27.1691668Z Getting action download info 2024-08-20T21:45:27.2800558Z ##[group]Run ./.github/actions/download-td-artifacts 2024-08-20T21:45:27.2801041Z with: 2024-08-20T21:45:27.2801262Z env: 2024-08-20T21:45:27.2801518Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.2801845Z ##[endgroup] 2024-08-20T21:45:27.2881986Z ##[group]Run seemethere/download-artifact-s3@v4 2024-08-20T21:45:27.2882433Z with: 2024-08-20T21:45:27.2882665Z name: td_results 2024-08-20T21:45:27.2882967Z s3-bucket: gha-artifacts 2024-08-20T21:45:27.2883302Z region: us-east-1 2024-08-20T21:45:27.2883566Z env: 2024-08-20T21:45:27.2883820Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.2884140Z ##[endgroup] 2024-08-20T21:45:27.7588115Z (node:103497) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-08-20T21:45:27.7588873Z 2024-08-20T21:45:27.7589202Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-08-20T21:45:27.7589920Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-08-20T21:45:27.7590790Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-08-20T21:45:27.8340488Z Found 1 objects with prefix pytorch/pytorch/10479309237/td_results/ 2024-08-20T21:45:27.8341640Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-08-20T21:45:27.8758956Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-08-20T21:45:27.8765529Z Artifact download has finished successfully 2024-08-20T21:45:27.8909336Z ##[group]Run mkdir -p .additional_ci_files 2024-08-20T21:45:27.8909790Z mkdir -p .additional_ci_files 2024-08-20T21:45:27.8910335Z mv td_results.json .additional_ci_files/td_results.json 2024-08-20T21:45:27.8916918Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:27.8917396Z env: 2024-08-20T21:45:27.8917669Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.8917995Z ##[endgroup] 2024-08-20T21:45:27.9029076Z ##[group]Run .github/scripts/parse_ref.py 2024-08-20T21:45:27.9029529Z .github/scripts/parse_ref.py 2024-08-20T21:45:27.9035025Z shell: /usr/bin/bash -e {0} 2024-08-20T21:45:27.9035361Z env: 2024-08-20T21:45:27.9035618Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.9035934Z ##[endgroup] 2024-08-20T21:45:27.9324240Z Prepare all required actions 2024-08-20T21:45:27.9389945Z ##[group]Run ./.github/actions/get-workflow-job-id 2024-08-20T21:45:27.9390399Z with: 2024-08-20T21:45:27.9390983Z github-token: *** 2024-08-20T21:45:27.9391276Z env: 2024-08-20T21:45:27.9391518Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.9391850Z ##[endgroup] 2024-08-20T21:45:27.9410070Z ##[group]Run set -eux 2024-08-20T21:45:27.9410386Z set -eux 2024-08-20T21:45:27.9410966Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2024-08-20T21:45:27.9417350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:27.9417836Z env: 2024-08-20T21:45:27.9418093Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:27.9418605Z GITHUB_TOKEN: *** 2024-08-20T21:45:27.9418961Z ##[endgroup] 2024-08-20T21:45:27.9456136Z + python3 .github/scripts/get_workflow_job_id.py 10479309237 i-0fd3c7981a5ce42b2 2024-08-20T21:45:29.9659735Z setting job-id=29025448570 2024-08-20T21:45:29.9660628Z setting job-name=linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:29.9899225Z Prepare all required actions 2024-08-20T21:45:29.9899661Z Getting action download info 2024-08-20T21:45:30.1347235Z ##[group]Run ./.github/actions/filter-test-configs 2024-08-20T21:45:30.1347802Z with: 2024-08-20T21:45:30.1348247Z github-token: *** 2024-08-20T21:45:30.1351755Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 4, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 3, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}]} 2024-08-20T21:45:30.1355547Z job-name: linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:30.1356177Z env: 2024-08-20T21:45:30.1356415Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:30.1356738Z ##[endgroup] 2024-08-20T21:45:30.1400652Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-08-20T21:45:30.1401215Z with: 2024-08-20T21:45:30.1401464Z shell: bash 2024-08-20T21:45:30.1401731Z timeout_minutes: 10 2024-08-20T21:45:30.1402038Z max_attempts: 5 2024-08-20T21:45:30.1402330Z retry_wait_seconds: 30 2024-08-20T21:45:30.1403472Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2024-08-20T21:45:30.1404799Z polling_interval_seconds: 1 2024-08-20T21:45:30.1405159Z warning_on_retry: true 2024-08-20T21:45:30.1405499Z continue_on_error: false 2024-08-20T21:45:30.1405801Z env: 2024-08-20T21:45:30.1406052Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:30.1406633Z GITHUB_TOKEN: *** 2024-08-20T21:45:30.1406909Z ##[endgroup] 2024-08-20T21:45:30.2217152Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2024-08-20T21:45:30.4603671Z Defaulting to user installation because normal site-packages is not writeable 2024-08-20T21:45:30.4762649Z Requirement already satisfied: requests==2.27.1 in /home/ec2-user/.local/lib/python3.9/site-packages (2.27.1) 2024-08-20T21:45:30.4766253Z Requirement already satisfied: pyyaml==6.0.1 in /home/ec2-user/.local/lib/python3.9/site-packages (6.0.1) 2024-08-20T21:45:30.4886087Z Requirement already satisfied: charset-normalizer~=2.0.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from requests==2.27.1) (2.0.12) 2024-08-20T21:45:30.4890601Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.9/site-packages (from requests==2.27.1) (2024.7.4) 2024-08-20T21:45:30.4894138Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2024-08-20T21:45:30.4904527Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2024-08-20T21:45:31.1951120Z Command completed after 1 attempt(s). 2024-08-20T21:45:31.1998874Z ##[group]Run set -x 2024-08-20T21:45:31.1999192Z set -x 2024-08-20T21:45:31.1999476Z  2024-08-20T21:45:31.2000011Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-08-20T21:45:31.2000677Z # in runner workspace 2024-08-20T21:45:31.2001190Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2024-08-20T21:45:31.2007343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:31.2008120Z env: 2024-08-20T21:45:31.2008383Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:31.2008713Z ##[endgroup] 2024-08-20T21:45:31.2033175Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2024-08-20T21:45:31.2274015Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2024-08-20T21:45:31.2274540Z echo "Workflow: ${GITHUB_WORKFLOW}" 2024-08-20T21:45:31.2274986Z echo "Job name: ${JOB_NAME}" 2024-08-20T21:45:31.2275353Z  2024-08-20T21:45:31.2275883Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-08-20T21:45:31.2276555Z # in runner workspace 2024-08-20T21:45:31.2277114Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2024-08-20T21:45:31.2277734Z  --workflow "${GITHUB_WORKFLOW}" \ 2024-08-20T21:45:31.2278179Z  --job-name "${JOB_NAME}" \ 2024-08-20T21:45:31.2281807Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 4, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 3, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}]}" \ 2024-08-20T21:45:31.2285412Z  --selected-test-configs "" \ 2024-08-20T21:45:31.2285969Z  --pr-number "${PR_NUMBER}" \ 2024-08-20T21:45:31.2286356Z  --tag "${TAG}" \ 2024-08-20T21:45:31.2286797Z  --event-name "${EVENT_NAME}" \ 2024-08-20T21:45:31.2287230Z  --schedule "${SCHEDULE}" \ 2024-08-20T21:45:31.2287630Z  --branch "${HEAD_BRANCH}" 2024-08-20T21:45:31.2293370Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:31.2293860Z env: 2024-08-20T21:45:31.2294103Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:31.2294630Z GITHUB_TOKEN: *** 2024-08-20T21:45:31.2295183Z JOB_NAME: linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:31.2295825Z PR_NUMBER: 133712 2024-08-20T21:45:31.2296096Z TAG: 2024-08-20T21:45:31.2296350Z EVENT_NAME: pull_request 2024-08-20T21:45:31.2296669Z SCHEDULE: 2024-08-20T21:45:31.2296916Z HEAD_BRANCH: 2024-08-20T21:45:31.2297183Z ##[endgroup] 2024-08-20T21:45:31.2319603Z Workflow: pull 2024-08-20T21:45:31.2320640Z Job name: linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:31.4849080Z INFO:root:Found no test-config label on the PR, so all test configs are included 2024-08-20T21:45:31.7597149Z ##[group]Run echo "Filtered matrix:" 2024-08-20T21:45:31.7597602Z echo "Filtered matrix:" 2024-08-20T21:45:31.7601452Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 4, "num_shards": 4, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "dynamo", "shard": 3, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}]}" 2024-08-20T21:45:31.7604984Z  2024-08-20T21:45:31.7605238Z echo 2024-08-20T21:45:31.7605716Z echo "Is the current job unstable? False" 2024-08-20T21:45:31.7606163Z  2024-08-20T21:45:31.7606411Z echo 2024-08-20T21:45:31.7606815Z echo "Is keep-going label set? False" 2024-08-20T21:45:31.7607237Z  2024-08-20T21:45:31.7607486Z echo 2024-08-20T21:45:31.7607763Z echo "Renabled issues? " 2024-08-20T21:45:31.7613633Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:31.7614125Z env: 2024-08-20T21:45:31.7614372Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:31.7614699Z ##[endgroup] 2024-08-20T21:45:31.7638203Z Filtered matrix: 2024-08-20T21:45:31.7642868Z {include: [{config: default, shard: 1, num_shards: 4, runner: amz2023.linux.2xlarge}, {config: default, shard: 2, num_shards: 4, runner: amz2023.linux.2xlarge}, {config: default, shard: 3, num_shards: 4, runner: amz2023.linux.2xlarge}, {config: default, shard: 4, num_shards: 4, runner: amz2023.linux.2xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: amz2023.linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: amz2023.linux.2xlarge}, {config: dynamo, shard: 1, num_shards: 3, runner: amz2023.linux.2xlarge}, {config: dynamo, shard: 2, num_shards: 3, runner: amz2023.linux.2xlarge}, {config: dynamo, shard: 3, num_shards: 3, runner: amz2023.linux.2xlarge}]} 2024-08-20T21:45:31.7646189Z 2024-08-20T21:45:31.7646335Z Is the current job unstable? False 2024-08-20T21:45:31.7646676Z 2024-08-20T21:45:31.7647023Z Is keep-going label set? False 2024-08-20T21:45:31.7647266Z 2024-08-20T21:45:31.7647371Z Renabled issues? 2024-08-20T21:45:31.7711531Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-08-20T21:45:31.7712233Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-08-20T21:45:31.7718192Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:45:31.7718670Z env: 2024-08-20T21:45:31.7718924Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:31.7719252Z JOB_TIMEOUT: 240 2024-08-20T21:45:31.7719520Z ##[endgroup] 2024-08-20T21:45:31.7813216Z ##[group]Run set -x 2024-08-20T21:45:31.7813597Z set -x 2024-08-20T21:45:31.7813856Z  2024-08-20T21:45:31.7814184Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2024-08-20T21:45:31.7814717Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2024-08-20T21:45:31.7815253Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2024-08-20T21:45:31.7815753Z  TEST_COMMAND=.ci/onnx/test.sh 2024-08-20T21:45:31.7816148Z else 2024-08-20T21:45:31.7816451Z  TEST_COMMAND=.ci/pytorch/test.sh 2024-08-20T21:45:31.7816852Z fi 2024-08-20T21:45:31.7817104Z  2024-08-20T21:45:31.7817541Z # detached container should get cleaned up by teardown_ec2_linux 2024-08-20T21:45:31.7818316Z # TODO: Stop building test binaries as part of the build phase 2024-08-20T21:45:31.7818989Z # Used for GPU_FLAG since that doesn't play nice 2024-08-20T21:45:31.7819569Z # shellcheck disable=SC2086,SC2090 2024-08-20T21:45:31.7820006Z container_name=$(docker run \ 2024-08-20T21:45:31.7820413Z  ${GPU_FLAG:-} \ 2024-08-20T21:45:31.7820767Z  -e BUILD_ENVIRONMENT \ 2024-08-20T21:45:31.7821136Z  -e PR_NUMBER \ 2024-08-20T21:45:31.7821484Z  -e GITHUB_ACTIONS \ 2024-08-20T21:45:31.7821857Z  -e GITHUB_REPOSITORY \ 2024-08-20T21:45:31.7822232Z  -e GITHUB_WORKFLOW \ 2024-08-20T21:45:31.7822600Z  -e GITHUB_JOB \ 2024-08-20T21:45:31.7822939Z  -e GITHUB_RUN_ID \ 2024-08-20T21:45:31.7823304Z  -e GITHUB_RUN_NUMBER \ 2024-08-20T21:45:31.7823678Z  -e GITHUB_RUN_ATTEMPT \ 2024-08-20T21:45:31.7824062Z  -e JOB_ID \ 2024-08-20T21:45:31.7824379Z  -e JOB_NAME \ 2024-08-20T21:45:31.7824823Z  -e BASE_SHA \ 2024-08-20T21:45:31.7825148Z  -e BRANCH \ 2024-08-20T21:45:31.7825460Z  -e SHA1 \ 2024-08-20T21:45:31.7825772Z  -e AWS_DEFAULT_REGION \ 2024-08-20T21:45:31.7826159Z  -e IN_WHEEL_TEST \ 2024-08-20T21:45:31.7826516Z  -e SHARD_NUMBER \ 2024-08-20T21:45:31.7826853Z  -e TEST_CONFIG \ 2024-08-20T21:45:31.7827202Z  -e NUM_TEST_SHARDS \ 2024-08-20T21:45:31.7827577Z  -e REENABLED_ISSUES \ 2024-08-20T21:45:31.7827959Z  -e CONTINUE_THROUGH_ERROR \ 2024-08-20T21:45:31.7828366Z  -e VERBOSE_TEST_LOGS \ 2024-08-20T21:45:31.7828749Z  -e TEST_SHOWLOCALS \ 2024-08-20T21:45:31.7829107Z  -e NO_TEST_TIMEOUT \ 2024-08-20T21:45:31.7829462Z  -e NO_TD \ 2024-08-20T21:45:31.7829782Z  -e TD_DISTRIBUTED \ 2024-08-20T21:45:31.7830135Z  -e PR_LABELS \ 2024-08-20T21:45:31.7830526Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2024-08-20T21:45:31.7830964Z  -e SCCACHE_BUCKET \ 2024-08-20T21:45:31.7831327Z  -e SCCACHE_S3_KEY_PREFIX \ 2024-08-20T21:45:31.7831720Z  -e XLA_CUDA \ 2024-08-20T21:45:31.7832101Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2024-08-20T21:45:31.7832582Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2024-08-20T21:45:31.7833095Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2024-08-20T21:45:31.7833594Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2024-08-20T21:45:31.7834035Z  -e HUGGING_FACE_HUB_TOKEN \ 2024-08-20T21:45:31.7834467Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2024-08-20T21:45:31.7834898Z  -e DASHBOARD_TAG \ 2024-08-20T21:45:31.7835343Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2024-08-20T21:45:31.7835887Z  --security-opt seccomp=unconfined \ 2024-08-20T21:45:31.7836338Z  --cap-add=SYS_PTRACE \ 2024-08-20T21:45:31.7836849Z  --ipc=host \ 2024-08-20T21:45:31.7837174Z  --shm-size="${SHM_SIZE}" \ 2024-08-20T21:45:31.7837559Z  --tty \ 2024-08-20T21:45:31.7837852Z  --detach \ 2024-08-20T21:45:31.7838275Z  --name="${container_name}" \ 2024-08-20T21:45:31.7838681Z  --user jenkins \ 2024-08-20T21:45:31.7839152Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2024-08-20T21:45:31.7839689Z  -w /var/lib/jenkins/workspace \ 2024-08-20T21:45:31.7840116Z  "${DOCKER_IMAGE}" 2024-08-20T21:45:31.7840452Z ) 2024-08-20T21:45:31.7840826Z # Propagate download.pytorch.org IP to container 2024-08-20T21:45:31.7841766Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2024-08-20T21:45:31.7842756Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2024-08-20T21:45:31.7843683Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2024-08-20T21:45:31.7849679Z shell: /usr/bin/bash -e {0} 2024-08-20T21:45:31.7850019Z env: 2024-08-20T21:45:31.7850260Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:45:31.7850664Z BUILD_ENVIRONMENT: linux-focal-py3.8-clang10 2024-08-20T21:45:31.7851104Z PR_NUMBER: 133712 2024-08-20T21:45:31.7851424Z GITHUB_REPOSITORY: pytorch/pytorch 2024-08-20T21:45:31.7851807Z GITHUB_WORKFLOW: pull 2024-08-20T21:45:31.7852121Z GITHUB_JOB: test 2024-08-20T21:45:31.7852417Z GITHUB_RUN_ID: 10479309237 2024-08-20T21:45:31.7852745Z GITHUB_RUN_NUMBER: 238988 2024-08-20T21:45:31.7853088Z GITHUB_RUN_ATTEMPT: 1 2024-08-20T21:45:31.7853400Z JOB_ID: 29025448570 2024-08-20T21:45:31.7853938Z JOB_NAME: linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:31.7854584Z BRANCH: pull/133712 2024-08-20T21:45:31.7854943Z SHA1: 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:45:31.7855446Z BASE_SHA: 91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:45:31.7855901Z TEST_CONFIG: crossref 2024-08-20T21:45:31.7856211Z SHARD_NUMBER: 2 2024-08-20T21:45:31.7856480Z NUM_TEST_SHARDS: 2 2024-08-20T21:45:31.7856779Z REENABLED_ISSUES: 2024-08-20T21:45:31.7857100Z CONTINUE_THROUGH_ERROR: False 2024-08-20T21:45:31.7857454Z VERBOSE_TEST_LOGS: False 2024-08-20T21:45:31.7857789Z TEST_SHOWLOCALS: False 2024-08-20T21:45:31.7858116Z NO_TEST_TIMEOUT: False 2024-08-20T21:45:31.7858414Z NO_TD: False 2024-08-20T21:45:31.7858693Z TD_DISTRIBUTED: False 2024-08-20T21:45:31.7859090Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2024-08-20T21:45:31.7859559Z SCCACHE_S3_KEY_PREFIX: pull 2024-08-20T21:45:31.7859896Z SHM_SIZE: 1g 2024-08-20T21:45:31.7860786Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:45:31.7861760Z XLA_CUDA: 2024-08-20T21:45:31.7862232Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2024-08-20T21:45:31.7862847Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2024-08-20T21:45:31.7863249Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2024-08-20T21:45:31.7863642Z DASHBOARD_TAG: 2024-08-20T21:45:31.7863941Z HUGGING_FACE_HUB_TOKEN: 2024-08-20T21:45:31.7864270Z SCRIBE_GRAPHQL_ACCESS_TOKEN: 2024-08-20T21:45:31.7864622Z ##[endgroup] 2024-08-20T21:45:31.7887897Z + [[ crossref == \m\u\l\t\i\g\p\u ]] 2024-08-20T21:45:31.7888593Z + [[ linux-focal-py3.8-clang10 == *onnx* ]] 2024-08-20T21:45:31.7889043Z + TEST_COMMAND=.ci/pytorch/test.sh 2024-08-20T21:45:31.7896024Z +++ nproc --ignore=2 2024-08-20T21:45:31.7921072Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG --env-file=/tmp/github_env_10479309237 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:45:38.0490780Z + container_name=69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:45:38.0492043Z + grep download.pytorch.org /etc/hosts 2024-08-20T21:45:38.0494095Z + docker exec -i 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf sudo bash -c '/bin/cat >> /etc/hosts' 2024-08-20T21:45:38.2167336Z + echo DOCKER_CONTAINER_ID=69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:45:38.2170264Z ++ echo dist/torch-2.5.0a0+git40ec5f6-cp38-cp38-linux_x86_64.whl 2024-08-20T21:45:38.2172327Z + docker exec -t 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf sh -c 'pip install dist/torch-2.5.0a0+git40ec5f6-cp38-cp38-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2024-08-20T21:45:39.2691544Z Processing ./dist/torch-2.5.0a0+git40ec5f6-cp38-cp38-linux_x86_64.whl (from torch==2.5.0a0+git40ec5f6) 2024-08-20T21:45:39.7036839Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (3.13.1) 2024-08-20T21:45:39.7040046Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (4.12.2) 2024-08-20T21:45:39.7043471Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (2.8.8) 2024-08-20T21:45:39.7047054Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (3.1.4) 2024-08-20T21:45:39.7050674Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (2024.6.1) 2024-08-20T21:45:39.7056609Z Requirement already satisfied: sympy==1.12.1 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (1.12.1) 2024-08-20T21:45:39.7077535Z Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from sympy==1.12.1->torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (1.3.0) 2024-08-20T21:45:39.7091681Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (3.3.0) 2024-08-20T21:45:39.7114473Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from opt-einsum>=3.3->torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (1.21.2) 2024-08-20T21:45:39.7508125Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from jinja2->torch==2.5.0a0+git40ec5f6->torch==2.5.0a0+git40ec5f6) (2.1.5) 2024-08-20T21:45:40.1124820Z Installing collected packages: torch 2024-08-20T21:45:47.7909079Z Successfully installed torch-2.5.0a0+git40ec5f6 2024-08-20T21:45:47.8484099Z + export TERM=vt100 2024-08-20T21:45:47.8484420Z + TERM=vt100 2024-08-20T21:45:47.8486304Z ++ dirname .ci/pytorch/test.sh 2024-08-20T21:45:47.8504233Z + source .ci/pytorch/common.sh 2024-08-20T21:45:47.8527974Z +++ dirname .ci/pytorch/common.sh 2024-08-20T21:45:47.8534258Z ++ source .ci/pytorch/common_utils.sh 2024-08-20T21:45:47.8553211Z +++ declare -f -t trap_add 2024-08-20T21:45:47.8558357Z ++ set -ex 2024-08-20T21:45:47.8558893Z ++ [[ linux-focal-py3.8-clang10 == *rocm* ]] 2024-08-20T21:45:47.8559565Z ++ BUILD_TEST_LIBTORCH=0 2024-08-20T21:45:47.8560150Z + [[ linux-focal-py3.8-clang10 != *rocm* ]] 2024-08-20T21:45:47.8562744Z ++ stat -c %u /var/lib/jenkins/workspace 2024-08-20T21:45:47.8591397Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2024-08-20T21:45:47.8592139Z + trap_add cleanup_workspace EXIT 2024-08-20T21:45:47.8592817Z + trap_add_cmd=cleanup_workspace 2024-08-20T21:45:47.8593178Z + shift 2024-08-20T21:45:47.8593438Z + for trap_add_name in "$@" 2024-08-20T21:45:47.8598259Z +++ trap -p EXIT 2024-08-20T21:45:47.8600792Z ++ eval 'extract_trap_cmd ' 2024-08-20T21:45:47.8601229Z +++ extract_trap_cmd 2024-08-20T21:45:47.8601565Z +++ printf '%s\n' '' 2024-08-20T21:45:47.8601941Z ++ printf '%s\n' cleanup_workspace 2024-08-20T21:45:47.8603872Z + trap -- ' 2024-08-20T21:45:47.8604488Z cleanup_workspace' EXIT 2024-08-20T21:45:47.8604980Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2024-08-20T21:45:48.2946857Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2024-08-20T21:45:48.3129110Z + echo 'Environment variables:' 2024-08-20T21:45:48.3129531Z Environment variables: 2024-08-20T21:45:48.3129831Z + env 2024-08-20T21:45:48.3154836Z INSTALLED_DB=yes 2024-08-20T21:45:48.3155781Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:45:48.3156792Z CONTINUE_THROUGH_ERROR=False 2024-08-20T21:45:48.3157255Z BUILD_ENVIRONMENT=linux-focal-py3.8-clang10 2024-08-20T21:45:48.3157671Z HOSTNAME=69d2416ec00d 2024-08-20T21:45:48.3158536Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3159357Z GITHUB_ACTION=__self 2024-08-20T21:45:48.3159755Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-08-20T21:45:48.3160288Z GITHUB_RUN_NUMBER=238988 2024-08-20T21:45:48.3160663Z TEST_CONFIG=crossref 2024-08-20T21:45:48.3160985Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-08-20T21:45:48.3161439Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-08-20T21:45:48.3161845Z SCRIBE_GRAPHQL_ACCESS_TOKEN= 2024-08-20T21:45:48.3162232Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2024-08-20T21:45:48.3162624Z GITHUB_REF_TYPE=branch 2024-08-20T21:45:48.3162940Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-08-20T21:45:48.3163337Z BASE_SHA=91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:45:48.3163752Z XLA_CUDA= 2024-08-20T21:45:48.3164008Z HUGGING_FACE_HUB_TOKEN= 2024-08-20T21:45:48.3165754Z *** 2024-08-20T21:45:48.3166010Z GITHUB_REPOSITORY_ID=65600975 2024-08-20T21:45:48.3166365Z GITHUB_ACTIONS=true 2024-08-20T21:45:48.3166787Z SHA1=40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:45:48.3167273Z GITHUB_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:45:48.3167993Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/133712/merge 2024-08-20T21:45:48.3168645Z UCC_HOME=/usr 2024-08-20T21:45:48.3168903Z VERBOSE_TEST_LOGS=False 2024-08-20T21:45:48.3169228Z GITHUB_REF=refs/pull/133712/merge 2024-08-20T21:45:48.3169585Z SHARD_NUMBER=2 2024-08-20T21:45:48.3169858Z GITHUB_REF_PROTECTED=false 2024-08-20T21:45:48.3170191Z HOME=/var/lib/jenkins 2024-08-20T21:45:48.3170531Z GITHUB_API_URL=https://api.github.com 2024-08-20T21:45:48.3170940Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-08-20T21:45:48.3171310Z UCX_COMMIT= 2024-08-20T21:45:48.3171577Z SCCACHE_S3_KEY_PREFIX=pull 2024-08-20T21:45:48.3171890Z NUM_TEST_SHARDS=2 2024-08-20T21:45:48.3172162Z UCX_HOME=/usr 2024-08-20T21:45:48.3173246Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3174401Z JOB_NAME=linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:48.3175574Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3176910Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-08-20T21:45:48.3177568Z GITHUB_EVENT_NAME=pull_request 2024-08-20T21:45:48.3177917Z DASHBOARD_TAG= 2024-08-20T21:45:48.3178313Z GITHUB_RUN_ID=10479309237 2024-08-20T21:45:48.3179250Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3180146Z GITHUB_ACTOR=pytorchmergebot 2024-08-20T21:45:48.3180487Z PR_NUMBER=133712 2024-08-20T21:45:48.3180753Z DESIRED_CUDA= 2024-08-20T21:45:48.3181027Z GITHUB_RUN_ATTEMPT=1 2024-08-20T21:45:48.3181341Z ANACONDA_PYTHON_VERSION=3.8 2024-08-20T21:45:48.3181747Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-08-20T21:45:48.3182191Z TERM=vt100 2024-08-20T21:45:48.3182445Z INSTALLED_VISION=yes 2024-08-20T21:45:48.3182729Z BRANCH=pull/133712 2024-08-20T21:45:48.3183027Z OPENSSL_ROOT_DIR=/opt/openssl 2024-08-20T21:45:48.3183380Z CUDA_PATH=/usr/local/cuda 2024-08-20T21:45:48.3184132Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-08-20T21:45:48.3184892Z GITHUB_SERVER_URL=https://github.com 2024-08-20T21:45:48.3185268Z UCC_COMMIT= 2024-08-20T21:45:48.3185517Z REENABLED_ISSUES= 2024-08-20T21:45:48.3185788Z DOCS= 2024-08-20T21:45:48.3186034Z INSTALLED_ANDROID= 2024-08-20T21:45:48.3186295Z SHLVL=1 2024-08-20T21:45:48.3186530Z MAX_JOBS=6 2024-08-20T21:45:48.3186792Z GITHUB_ACTOR_ID=97764156 2024-08-20T21:45:48.3187219Z GITHUB_WORKFLOW_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:45:48.3187722Z GITHUB_REF_NAME=133712/merge 2024-08-20T21:45:48.3188320Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-08-20T21:45:48.3188876Z GITHUB_JOB=test 2024-08-20T21:45:48.3189153Z NO_TEST_TIMEOUT=False 2024-08-20T21:45:48.3189456Z TD_DISTRIBUTED=False 2024-08-20T21:45:48.3189770Z GITHUB_REPOSITORY=pytorch/pytorch 2024-08-20T21:45:48.3190147Z GITHUB_RETENTION_DAYS=90 2024-08-20T21:45:48.3190471Z OPENSSL_DIR=/opt/openssl 2024-08-20T21:45:48.3190784Z GITHUB_ACTION_REPOSITORY= 2024-08-20T21:45:48.3191844Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:45:48.3192966Z GITHUB_BASE_REF=gh/XuehaiPan/146/base 2024-08-20T21:45:48.3193339Z INSTALLED_ACL= 2024-08-20T21:45:48.3193596Z CI=true 2024-08-20T21:45:48.3193858Z GITHUB_REPOSITORY_OWNER=pytorch 2024-08-20T21:45:48.3194194Z JOB_ID=29025448570 2024-08-20T21:45:48.3194482Z INSTALLED_PROTOBUF=yes 2024-08-20T21:45:48.3194814Z GITHUB_HEAD_REF=gh/XuehaiPan/146/head 2024-08-20T21:45:48.3195179Z GITHUB_ACTION_REF= 2024-08-20T21:45:48.3195602Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-08-20T21:45:48.3196057Z TEST_SHOWLOCALS=False 2024-08-20T21:45:48.3196348Z GITHUB_WORKFLOW=pull 2024-08-20T21:45:48.3196667Z DEBIAN_FRONTEND=noninteractive 2024-08-20T21:45:48.3197596Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3198407Z NO_TD=False 2024-08-20T21:45:48.3198683Z SKIP_SCCACHE_INITIALIZATION=1 2024-08-20T21:45:48.3199021Z _=/usr/bin/env 2024-08-20T21:45:48.3199482Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2024-08-20T21:45:48.3371774Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch 2024-08-20T21:45:48.3373399Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:45:48.3374906Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib 2024-08-20T21:45:48.3375928Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/test 2024-08-20T21:45:48.3376523Z + BUILD_DIR=build 2024-08-20T21:45:48.3376827Z + BUILD_RENAMED_DIR=build_renamed 2024-08-20T21:45:48.3377182Z + BUILD_BIN_DIR=build/bin 2024-08-20T21:45:48.3377532Z + SHARD_NUMBER=2 2024-08-20T21:45:48.3378086Z + NUM_TEST_SHARDS=2 2024-08-20T21:45:48.3378610Z + export VALGRIND=ON 2024-08-20T21:45:48.3379040Z + VALGRIND=ON 2024-08-20T21:45:48.3379443Z + [[ linux-focal-py3.8-clang10 == *clang9* ]] 2024-08-20T21:45:48.3379847Z + [[ 0 == \1 ]] 2024-08-20T21:45:48.3380114Z + [[ False == \1 ]] 2024-08-20T21:45:48.3380624Z + [[ linux-focal-py3.8-clang10 != *bazel* ]] 2024-08-20T21:45:48.3381070Z ++ realpath build/custom_test_artifacts 2024-08-20T21:45:48.3396213Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2024-08-20T21:45:48.3397007Z + [[ -n '' ]] 2024-08-20T21:45:48.3397388Z + echo 'Environment variables' 2024-08-20T21:45:48.3397749Z Environment variables 2024-08-20T21:45:48.3398095Z + env 2024-08-20T21:45:48.3402777Z INSTALLED_DB=yes 2024-08-20T21:45:48.3403927Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:45:48.3404719Z CONTINUE_THROUGH_ERROR=False 2024-08-20T21:45:48.3405335Z BUILD_ENVIRONMENT=linux-focal-py3.8-clang10 2024-08-20T21:45:48.3405932Z HOSTNAME=69d2416ec00d 2024-08-20T21:45:48.3407080Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3407972Z GITHUB_ACTION=__self 2024-08-20T21:45:48.3408305Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-08-20T21:45:48.3408736Z GITHUB_RUN_NUMBER=238988 2024-08-20T21:45:48.3409059Z TEST_CONFIG=crossref 2024-08-20T21:45:48.3409418Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-08-20T21:45:48.3409881Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-08-20T21:45:48.3410356Z SCRIBE_GRAPHQL_ACCESS_TOKEN= 2024-08-20T21:45:48.3410721Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2024-08-20T21:45:48.3411121Z GITHUB_REF_TYPE=branch 2024-08-20T21:45:48.3411466Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-08-20T21:45:48.3411879Z BASE_SHA=91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:45:48.3412306Z XLA_CUDA= 2024-08-20T21:45:48.3412566Z HUGGING_FACE_HUB_TOKEN= 2024-08-20T21:45:48.3412950Z *** 2024-08-20T21:45:48.3413203Z GITHUB_REPOSITORY_ID=65600975 2024-08-20T21:45:48.3413559Z GITHUB_ACTIONS=true 2024-08-20T21:45:48.3413943Z SHA1=40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:45:48.3414442Z GITHUB_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:45:48.3415160Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/133712/merge 2024-08-20T21:45:48.3415779Z UCC_HOME=/usr 2024-08-20T21:45:48.3416049Z VERBOSE_TEST_LOGS=False 2024-08-20T21:45:48.3416376Z GITHUB_REF=refs/pull/133712/merge 2024-08-20T21:45:48.3416717Z SHARD_NUMBER=2 2024-08-20T21:45:48.3416998Z GITHUB_REF_PROTECTED=false 2024-08-20T21:45:48.3417326Z HOME=/var/lib/jenkins 2024-08-20T21:45:48.3417706Z GITHUB_API_URL=https://api.github.com 2024-08-20T21:45:48.3418127Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-08-20T21:45:48.3418496Z UCX_COMMIT= 2024-08-20T21:45:48.3418751Z SCCACHE_S3_KEY_PREFIX=pull 2024-08-20T21:45:48.3419076Z NUM_TEST_SHARDS=2 2024-08-20T21:45:48.3419353Z UCX_HOME=/usr 2024-08-20T21:45:48.3420198Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3421368Z JOB_NAME=linux-focal-py3.8-clang10 / test (crossref, 2, 2, amz2023.linux.2xlarge) 2024-08-20T21:45:48.3422547Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3423687Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-08-20T21:45:48.3424411Z GITHUB_EVENT_NAME=pull_request 2024-08-20T21:45:48.3424770Z DASHBOARD_TAG= 2024-08-20T21:45:48.3425036Z GITHUB_RUN_ID=10479309237 2024-08-20T21:45:48.3425978Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3426898Z GITHUB_ACTOR=pytorchmergebot 2024-08-20T21:45:48.3427238Z PR_NUMBER=133712 2024-08-20T21:45:48.3427502Z DESIRED_CUDA= 2024-08-20T21:45:48.3427774Z GITHUB_RUN_ATTEMPT=1 2024-08-20T21:45:48.3428068Z VALGRIND=ON 2024-08-20T21:45:48.3428470Z ANACONDA_PYTHON_VERSION=3.8 2024-08-20T21:45:48.3428892Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-08-20T21:45:48.3429340Z TERM=vt100 2024-08-20T21:45:48.3429586Z INSTALLED_VISION=yes 2024-08-20T21:45:48.3429888Z BRANCH=pull/133712 2024-08-20T21:45:48.3430268Z OPENSSL_ROOT_DIR=/opt/openssl 2024-08-20T21:45:48.3430606Z CUDA_PATH=/usr/local/cuda 2024-08-20T21:45:48.3431375Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-08-20T21:45:48.3432139Z GITHUB_SERVER_URL=https://github.com 2024-08-20T21:45:48.3432505Z UCC_COMMIT= 2024-08-20T21:45:48.3432762Z REENABLED_ISSUES= 2024-08-20T21:45:48.3433034Z DOCS= 2024-08-20T21:45:48.3433263Z INSTALLED_ANDROID= 2024-08-20T21:45:48.3433539Z SHLVL=1 2024-08-20T21:45:48.3433775Z MAX_JOBS=6 2024-08-20T21:45:48.3434023Z GITHUB_ACTOR_ID=97764156 2024-08-20T21:45:48.3434460Z GITHUB_WORKFLOW_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:45:48.3434961Z GITHUB_REF_NAME=133712/merge 2024-08-20T21:45:48.3435557Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-08-20T21:45:48.3436128Z GITHUB_JOB=test 2024-08-20T21:45:48.3436404Z NO_TEST_TIMEOUT=False 2024-08-20T21:45:48.3436694Z TD_DISTRIBUTED=False 2024-08-20T21:45:48.3437020Z GITHUB_REPOSITORY=pytorch/pytorch 2024-08-20T21:45:48.3437398Z GITHUB_RETENTION_DAYS=90 2024-08-20T21:45:48.3437739Z OPENSSL_DIR=/opt/openssl 2024-08-20T21:45:48.3438114Z GITHUB_ACTION_REPOSITORY= 2024-08-20T21:45:48.3439175Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:45:48.3440293Z GITHUB_BASE_REF=gh/XuehaiPan/146/base 2024-08-20T21:45:48.3440682Z INSTALLED_ACL= 2024-08-20T21:45:48.3440943Z CI=true 2024-08-20T21:45:48.3441193Z GITHUB_REPOSITORY_OWNER=pytorch 2024-08-20T21:45:48.3441544Z JOB_ID=29025448570 2024-08-20T21:45:48.3441836Z INSTALLED_PROTOBUF=yes 2024-08-20T21:45:48.3442157Z GITHUB_HEAD_REF=gh/XuehaiPan/146/head 2024-08-20T21:45:48.3442545Z GITHUB_ACTION_REF= 2024-08-20T21:45:48.3442974Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-08-20T21:45:48.3443418Z TEST_SHOWLOCALS=False 2024-08-20T21:45:48.3443721Z GITHUB_WORKFLOW=pull 2024-08-20T21:45:48.3444045Z DEBIAN_FRONTEND=noninteractive 2024-08-20T21:45:48.3444958Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1e864476-8285-49e5-94e6-ff6177b6388c 2024-08-20T21:45:48.3445782Z NO_TD=False 2024-08-20T21:45:48.3446060Z SKIP_SCCACHE_INITIALIZATION=1 2024-08-20T21:45:48.3446390Z _=/usr/bin/env 2024-08-20T21:45:48.3446786Z + echo 'Testing pytorch' 2024-08-20T21:45:48.3447107Z Testing pytorch 2024-08-20T21:45:48.3447391Z + export LANG=C.UTF-8 2024-08-20T21:45:48.3447705Z + LANG=C.UTF-8 2024-08-20T21:45:48.3496779Z + PR_NUMBER=133712 2024-08-20T21:45:48.3497274Z + [[ crossref == \d\e\f\a\u\l\t ]] 2024-08-20T21:45:48.3497938Z + [[ crossref == \d\i\s\t\r\i\b\u\t\e\d ]] 2024-08-20T21:45:48.3498693Z + [[ crossref == \s\l\o\w ]] 2024-08-20T21:45:48.3499515Z + [[ linux-focal-py3.8-clang10 == *slow-gradcheck* ]] 2024-08-20T21:45:48.3500376Z + [[ linux-focal-py3.8-clang10 == *cuda* ]] 2024-08-20T21:45:48.3500887Z + [[ linux-focal-py3.8-clang10 == *rocm* ]] 2024-08-20T21:45:48.3501388Z + [[ linux-focal-py3.8-clang10 == *xpu* ]] 2024-08-20T21:45:48.3501810Z + [[ crossref == *crossref* ]] 2024-08-20T21:45:48.3502191Z + export PYTORCH_TEST_WITH_CROSSREF=1 2024-08-20T21:45:48.3502587Z + PYTORCH_TEST_WITH_CROSSREF=1 2024-08-20T21:45:48.3503028Z + [[ linux-focal-py3.8-clang10 == *rocm* ]] 2024-08-20T21:45:48.3503530Z + [[ linux-focal-py3.8-clang10 == *xpu* ]] 2024-08-20T21:45:48.3504032Z + [[ linux-focal-py3.8-clang10 != *-bazel-* ]] 2024-08-20T21:45:48.3504524Z + pip_install --user ninja==1.10.2 2024-08-20T21:45:48.3505044Z + pip install --progress-bar off --user ninja==1.10.2 2024-08-20T21:45:48.7543363Z Collecting ninja==1.10.2 2024-08-20T21:45:48.7636714Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2024-08-20T21:45:48.7740085Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2024-08-20T21:45:49.0772969Z Installing collected packages: ninja 2024-08-20T21:45:49.0860267Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2024-08-20T21:45:49.0861593Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2024-08-20T21:45:49.0916846Z Successfully installed ninja-1.10.2 2024-08-20T21:45:49.1445738Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:45:49.1448231Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:45:49.1449824Z + [[ linux-focal-py3.8-clang10 == *aarch64* ]] 2024-08-20T21:45:49.1450271Z + install_tlparse 2024-08-20T21:45:49.1450696Z + pip_install --user tlparse==0.3.25 2024-08-20T21:45:49.1451285Z + pip install --progress-bar off --user tlparse==0.3.25 2024-08-20T21:45:49.4953235Z Collecting tlparse==0.3.25 2024-08-20T21:45:49.5033611Z Downloading tlparse-0.3.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.7 kB) 2024-08-20T21:45:49.5126563Z Downloading tlparse-0.3.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB) 2024-08-20T21:45:49.8344168Z Installing collected packages: tlparse 2024-08-20T21:45:49.9248440Z Successfully installed tlparse-0.3.25 2024-08-20T21:45:49.9866958Z ++ python -m site --user-base 2024-08-20T21:45:50.0126032Z + PATH=/var/lib/jenkins/.local/bin:/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:45:50.0127949Z + [[ linux-focal-py3.8-clang10 == *asan* ]] 2024-08-20T21:45:50.0128489Z + [[ linux-focal-py3.8-clang10 == *-debug* ]] 2024-08-20T21:45:50.0129133Z + [[ linux-focal-py3.8-clang10 != *-bazel-* ]] 2024-08-20T21:45:50.0130153Z + echo 'We are not in debug mode: linux-focal-py3.8-clang10. Expect the assertion to pass' 2024-08-20T21:45:50.0131248Z We are not in debug mode: linux-focal-py3.8-clang10. Expect the assertion to pass 2024-08-20T21:45:50.0131883Z + cd test 2024-08-20T21:45:50.0132390Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2024-08-20T21:45:52.3567738Z + [[ crossref == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2024-08-20T21:45:52.3568329Z + [[ crossref == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2024-08-20T21:45:52.3569179Z + DYNAMO_BENCHMARK_FLAGS=() 2024-08-20T21:45:52.3570682Z + [[ crossref == *pr_time_benchmarks* ]] 2024-08-20T21:45:52.3571275Z + [[ crossref == *dynamo_eager* ]] 2024-08-20T21:45:52.3571778Z + [[ crossref == *aot_eager* ]] 2024-08-20T21:45:52.3572318Z + [[ crossref == *aot_inductor* ]] 2024-08-20T21:45:52.3573119Z + [[ crossref == *inductor* ]] 2024-08-20T21:45:52.3573656Z + [[ crossref == *dynamic* ]] 2024-08-20T21:45:52.3574005Z + [[ crossref == *cpu* ]] 2024-08-20T21:45:52.3574582Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2024-08-20T21:45:52.3605081Z + [[ linux-focal-py3.8-clang10 == *libtorch* ]] 2024-08-20T21:45:52.3605683Z + [[ linux-focal-py3.8-clang10 == *-bazel-* ]] 2024-08-20T21:45:52.3607754Z + cd test 2024-08-20T21:45:52.3608238Z + python -c 'import torch; print(torch.__config__.show())' 2024-08-20T21:45:53.5235577Z PyTorch built with: 2024-08-20T21:45:53.5236228Z - GCC 4.2 2024-08-20T21:45:53.5236645Z - C++ Version: 201703 2024-08-20T21:45:53.5237044Z - clang 10.0.0 2024-08-20T21:45:53.5237983Z - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-08-20T21:45:53.5239217Z - Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67) 2024-08-20T21:45:53.5240229Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-08-20T21:45:53.5240780Z - LAPACK is enabled (usually provided by MKL) 2024-08-20T21:45:53.5241262Z - NNPACK is enabled 2024-08-20T21:45:53.5241687Z - CPU capability usage: AVX512 2024-08-20T21:45:53.5250781Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Wno-missing-braces -Qunused-arguments -fcolor-diagnostics -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.5.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, 2024-08-20T21:45:53.5258801Z 2024-08-20T21:45:53.7149142Z + cd test 2024-08-20T21:45:53.7149908Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2024-08-20T21:45:54.9060369Z ATen/Parallel: 2024-08-20T21:45:54.9060933Z at::get_num_threads() : 4 2024-08-20T21:45:54.9061490Z at::get_num_interop_threads() : 4 2024-08-20T21:45:54.9061969Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-08-20T21:45:54.9062714Z omp_get_max_threads() : 4 2024-08-20T21:45:54.9064478Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-08-20T21:45:54.9065295Z mkl_get_max_threads() : 4 2024-08-20T21:45:54.9065938Z Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67) 2024-08-20T21:45:54.9066567Z std::thread::hardware_concurrency() : 8 2024-08-20T21:45:54.9066967Z Environment variables: 2024-08-20T21:45:54.9067301Z OMP_NUM_THREADS : [not set] 2024-08-20T21:45:54.9067658Z MKL_NUM_THREADS : [not set] 2024-08-20T21:45:54.9068004Z ATen parallel backend: OpenMP 2024-08-20T21:45:54.9068260Z 2024-08-20T21:45:55.0962061Z + [[ linux-focal-py3.8-clang10 == *aarch64* ]] 2024-08-20T21:45:55.0962767Z + [[ crossref == *backward* ]] 2024-08-20T21:45:55.0963123Z + [[ crossref == *xla* ]] 2024-08-20T21:45:55.0963628Z + [[ crossref == *executorch* ]] 2024-08-20T21:45:55.0964415Z + [[ crossref == \j\i\t\_\l\e\g\a\c\y ]] 2024-08-20T21:45:55.0965155Z + [[ linux-focal-py3.8-clang10 == *libtorch* ]] 2024-08-20T21:45:55.0965674Z + [[ crossref == distributed ]] 2024-08-20T21:45:55.0966288Z + [[ crossref == *inductor_distributed* ]] 2024-08-20T21:45:55.0967187Z + [[ crossref == *inductor-halide* ]] 2024-08-20T21:45:55.0967966Z + [[ crossref == *inductor-micro-benchmark* ]] 2024-08-20T21:45:55.0968493Z + [[ crossref == *huggingface* ]] 2024-08-20T21:45:55.0968859Z + [[ crossref == *timm* ]] 2024-08-20T21:45:55.0969207Z + [[ crossref == *torchbench* ]] 2024-08-20T21:45:55.0969676Z + [[ crossref == *inductor_cpp_wrapper_abi_compatible* ]] 2024-08-20T21:45:55.0970167Z + [[ crossref == *inductor* ]] 2024-08-20T21:45:55.0970660Z + [[ crossref == *dynamo* ]] 2024-08-20T21:45:55.0971433Z + [[ linux-focal-py3.8-clang10 == *rocm* ]] 2024-08-20T21:45:55.0971850Z + [[ 2 == 1 ]] 2024-08-20T21:45:55.0972103Z + [[ 2 == 2 ]] 2024-08-20T21:45:55.0972405Z + [[ 2 -gt 1 ]] 2024-08-20T21:45:55.0972893Z + install_torchvision 2024-08-20T21:45:55.0973209Z + local orig_preload 2024-08-20T21:45:55.0973510Z + local commit 2024-08-20T21:45:55.0974130Z ++ get_pinned_commit vision 2024-08-20T21:45:55.0974508Z ++ cat .github/ci_commit_pins/vision.txt 2024-08-20T21:45:55.0986551Z + commit=d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:45:55.0987325Z + orig_preload= 2024-08-20T21:45:55.0987972Z + '[' -n '' ']' 2024-08-20T21:45:55.0989539Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:45:55.0991083Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:45:55.4139967Z Collecting git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:45:55.4146914Z Cloning https://github.com/pytorch/vision.git (to revision d23a6e1664d20707c11781299611436e1f0c104f) to /tmp/pip-req-build-zsjyazah 2024-08-20T21:45:55.4184702Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-zsjyazah 2024-08-20T21:45:57.0666518Z Running command git rev-parse -q --verify 'sha^d23a6e1664d20707c11781299611436e1f0c104f' 2024-08-20T21:45:57.0702851Z Running command git fetch -q https://github.com/pytorch/vision.git d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:45:58.3684569Z Running command git checkout -q d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:45:58.6209847Z Resolved https://github.com/pytorch/vision.git to commit d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:46:00.8405515Z Preparing metadata (setup.py) ... [?25l- done 2024-08-20T21:46:00.8463569Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torchvision==0.19.0a0+d23a6e1) (1.21.2) 2024-08-20T21:46:00.8467382Z Requirement already satisfied: torch in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.5.0a0+git40ec5f6) 2024-08-20T21:46:00.8472159Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torchvision==0.19.0a0+d23a6e1) (10.3.0) 2024-08-20T21:46:00.8544382Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.13.1) 2024-08-20T21:46:00.8548478Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (4.12.2) 2024-08-20T21:46:00.8552514Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2.8.8) 2024-08-20T21:46:00.8556164Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.1.4) 2024-08-20T21:46:00.8559766Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2024.6.1) 2024-08-20T21:46:00.8565450Z Requirement already satisfied: sympy==1.12.1 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (1.12.1) 2024-08-20T21:46:00.8578732Z Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from sympy==1.12.1->torch->torchvision==0.19.0a0+d23a6e1) (1.3.0) 2024-08-20T21:46:00.8951330Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from jinja2->torch->torchvision==0.19.0a0+d23a6e1) (2.1.5) 2024-08-20T21:46:00.9017078Z Building wheels for collected packages: torchvision 2024-08-20T21:47:06.1331303Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2024-08-20T21:47:06.1374466Z [?25h Created wheel for torchvision: filename=torchvision-0.19.0a0+d23a6e1-cp38-cp38-linux_x86_64.whl size=1138635 sha256=2768464f2bafcb76f45852cbfa1cf87693ec50a74585302553ed2c8d255d8a7a 2024-08-20T21:47:06.1376524Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/82/f9/1e/f126983e23cfd567a4cb268f7d0778919a2a7014fe9af04f11 2024-08-20T21:47:06.1422289Z Successfully built torchvision 2024-08-20T21:47:06.3992909Z Installing collected packages: torchvision 2024-08-20T21:47:06.7936650Z Successfully installed torchvision-0.19.0a0+d23a6e1 2024-08-20T21:47:06.8760446Z + '[' -n '' ']' 2024-08-20T21:47:06.8760804Z + test_python_shard 2 2024-08-20T21:47:06.8761232Z + [[ -z 2 ]] 2024-08-20T21:47:06.8762473Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 2 2 --verbose 2024-08-20T21:47:06.9926329Z test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T21:47:06.9927411Z import pkg_resources 2024-08-20T21:47:10.7792145Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T21:47:10.8306889Z Ignoring disabled issues: [''] 2024-08-20T21:47:10.8422938Z Found test times from artifacts 2024-08-20T21:47:10.8857920Z Found test times from artifacts 2024-08-20T21:47:10.8875290Z Running 25% of tests based on TD 2024-08-20T21:47:10.9098733Z Running parallel tests on 3 processes 2024-08-20T21:47:10.9102729Z Name: tests to run (est. time: 3.18min) 2024-08-20T21:47:10.9103302Z Serial tests (3): 2024-08-20T21:47:10.9103662Z doctests 1/1 2024-08-20T21:47:10.9103999Z inductor/test_distributed_patterns 1/1 2024-08-20T21:47:10.9104469Z test_nn 1/1 2024-08-20T21:47:10.9104747Z Parallel tests (43): 2024-08-20T21:47:10.9105129Z dynamo/test_trace_rules 1/1 2024-08-20T21:47:10.9105494Z dynamo/test_misc 1/1 2024-08-20T21:47:10.9105851Z dynamo/test_functions 1/1 2024-08-20T21:47:10.9106237Z dynamo/test_higher_order_ops 1/1 2024-08-20T21:47:10.9106710Z inductor/test_torchinductor 1/1 2024-08-20T21:47:10.9107173Z inductor/test_torchinductor_dynamic_shapes 1/1 2024-08-20T21:47:10.9107685Z dynamo/test_export 1/1 2024-08-20T21:47:10.9108053Z inductor/test_compiled_optimizers 1/1 2024-08-20T21:47:10.9108512Z dynamo/test_interop 1/1 2024-08-20T21:47:10.9108879Z dynamo/test_exc 1/1 2024-08-20T21:47:10.9109236Z dynamo/test_unspec 1/1 2024-08-20T21:47:10.9109564Z dynamo/test_ctx_manager 1/1 2024-08-20T21:47:10.9110007Z inductor/test_pattern_matcher 1/1 2024-08-20T21:47:10.9110503Z dynamo/test_activation_checkpointing 1/1 2024-08-20T21:47:10.9110966Z inductor/test_mkldnn_pattern_matcher 1/1 2024-08-20T21:47:10.9111469Z inductor/test_fused_attention 1/1 2024-08-20T21:47:10.9111869Z inductor/test_foreach 1/1 2024-08-20T21:47:10.9112290Z inductor/test_split_cat_fx_passes 1/1 2024-08-20T21:47:10.9112758Z inductor/test_cpu_repro 1/1 2024-08-20T21:47:10.9113135Z inductor/test_cuda_repro 1/1 2024-08-20T21:47:10.9113556Z dynamo/test_aot_autograd 1/1 2024-08-20T21:47:10.9114057Z dynamo/test_backends 1/1 2024-08-20T21:47:10.9114587Z dynamo/test_comptime 1/1 2024-08-20T21:47:10.9115071Z dynamo/test_minifier 1/1 2024-08-20T21:47:10.9115663Z inductor/test_extension_backend 1/1 2024-08-20T21:47:10.9116392Z dynamo/test_config 1/1 2024-08-20T21:47:10.9116899Z inductor/test_minifier 1/1 2024-08-20T21:47:10.9117313Z inductor/test_coordinate_descent_tuner 1/1 2024-08-20T21:47:10.9117767Z inductor/test_binary_folding 1/1 2024-08-20T21:47:10.9118167Z inductor/test_select_algorithm 1/1 2024-08-20T21:47:10.9118590Z dynamo/test_verify_correctness 1/1 2024-08-20T21:47:10.9118991Z dynamo/test_nops 1/1 2024-08-20T21:47:10.9119329Z inductor/test_triton_heuristics 1/1 2024-08-20T21:47:10.9119754Z inductor/test_minifier_isolate 1/1 2024-08-20T21:47:10.9120174Z inductor/test_custom_lowering 1/1 2024-08-20T21:47:10.9120576Z export/test_unflatten 1/1 2024-08-20T21:47:10.9120917Z export/test_serdes 1/1 2024-08-20T21:47:10.9121482Z test_autograd 1/1 2024-08-20T21:47:10.9121799Z test_functionalization 1/1 2024-08-20T21:47:10.9122183Z inductor/test_cudacodecache 1/1 2024-08-20T21:47:10.9122576Z test_serialization 1/1 2024-08-20T21:47:10.9122974Z export/test_export_training_ir_to_run_decomp 1/1 2024-08-20T21:47:10.9123573Z inductor/test_cpu_cpp_wrapper 1/1 2024-08-20T21:47:10.9124054Z Name: excluded (est. time: 73.29min) 2024-08-20T21:47:10.9124448Z Serial tests (0): 2024-08-20T21:47:10.9124759Z Parallel tests (147): 2024-08-20T21:47:10.9125076Z test_quantization 1/4 2024-08-20T21:47:10.9125413Z test_quantization 2/4 2024-08-20T21:47:10.9125748Z test_quantization 3/4 2024-08-20T21:47:10.9126065Z test_quantization 4/4 2024-08-20T21:47:10.9126402Z test_ops_gradients 2/2 2024-08-20T21:47:10.9126802Z test_ops 1/6 2024-08-20T21:47:10.9127070Z test_ops 2/6 2024-08-20T21:47:10.9127348Z test_ops 6/6 2024-08-20T21:47:10.9127638Z functorch/test_ops 1/7 2024-08-20T21:47:10.9127966Z functorch/test_ops 2/7 2024-08-20T21:47:10.9128307Z functorch/test_ops 6/7 2024-08-20T21:47:10.9128642Z functorch/test_ops 7/7 2024-08-20T21:47:10.9128978Z functorch/test_aotdispatch 1/5 2024-08-20T21:47:10.9129377Z functorch/test_aotdispatch 5/5 2024-08-20T21:47:10.9129764Z test_transformers 1/2 2024-08-20T21:47:10.9130085Z test_transformers 2/2 2024-08-20T21:47:10.9130412Z test_sparse 2/3 2024-08-20T21:47:10.9130704Z test_sparse 3/3 2024-08-20T21:47:10.9130996Z functorch/test_vmap 1/2 2024-08-20T21:47:10.9131333Z test_modules 1/2 2024-08-20T21:47:10.9131630Z test_modules 2/2 2024-08-20T21:47:10.9131923Z export/test_sparse 1/1 2024-08-20T21:47:10.9132261Z test_unary_ufuncs 2/2 2024-08-20T21:47:10.9132584Z test_decomp 1/1 2024-08-20T21:47:10.9132871Z test_schema_check 1/1 2024-08-20T21:47:10.9133214Z functorch/test_control_flow 1/1 2024-08-20T21:47:10.9133601Z test_dataloader 1/1 2024-08-20T21:47:10.9133894Z test_jit 1/1 2024-08-20T21:47:10.9134179Z test_typing 1/1 2024-08-20T21:47:10.9134455Z test_mkldnn 1/1 2024-08-20T21:47:10.9134764Z test_fx_experimental 1/1 2024-08-20T21:47:10.9135109Z test_optim 1/1 2024-08-20T21:47:10.9135448Z torch_np/numpy_tests/core/test_scalarmath 1/1 2024-08-20T21:47:10.9135899Z test_sympy_utils 1/1 2024-08-20T21:47:10.9136220Z test_view_ops 1/1 2024-08-20T21:47:10.9136547Z higher_order_ops/test_with_effects 1/1 2024-08-20T21:47:10.9136965Z test_jit_autocast 1/1 2024-08-20T21:47:10.9137291Z test_datapipe 1/1 2024-08-20T21:47:10.9137629Z torch_np/numpy_tests/core/test_einsum 1/1 2024-08-20T21:47:10.9138058Z test_maskedtensor 1/1 2024-08-20T21:47:10.9138389Z lazy/test_ts_opinfo 1/1 2024-08-20T21:47:10.9138715Z test_ao_sparsity 1/1 2024-08-20T21:47:10.9139042Z test_custom_ops 1/1 2024-08-20T21:47:10.9139378Z nn/test_multihead_attention 1/1 2024-08-20T21:47:10.9139795Z torch_np/numpy_tests/fft/test_helper 1/1 2024-08-20T21:47:10.9140227Z test_dynamic_shapes 1/1 2024-08-20T21:47:10.9140623Z torch_np/numpy_tests/fft/test_pocketfft 1/1 2024-08-20T21:47:10.9141037Z test_weak 1/1 2024-08-20T21:47:10.9141323Z test_mkl_verbose 1/1 2024-08-20T21:47:10.9141671Z profiler/test_memory_profiler 1/1 2024-08-20T21:47:10.9142072Z profiler/test_torch_tidy 1/1 2024-08-20T21:47:10.9142442Z test_mkldnn_verbose 1/1 2024-08-20T21:47:10.9142792Z torch_np/test_reductions 1/1 2024-08-20T21:47:10.9143139Z test_package 1/1 2024-08-20T21:47:10.9143437Z test_indexing 1/1 2024-08-20T21:47:10.9143739Z test_logging 1/1 2024-08-20T21:47:10.9144041Z backends/xeon/test_launch 1/1 2024-08-20T21:47:10.9144411Z test_model_dump 1/1 2024-08-20T21:47:10.9144725Z test_shape_ops 1/1 2024-08-20T21:47:10.9145038Z torch_np/test_ufuncs_basic 1/1 2024-08-20T21:47:10.9145417Z torch_np/test_basic 1/1 2024-08-20T21:47:10.9145798Z benchmark_utils/test_benchmark_utils 1/1 2024-08-20T21:47:10.9146217Z nn/test_load_state_dict 1/1 2024-08-20T21:47:10.9146732Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 2024-08-20T21:47:10.9147176Z test_autoload 1/1 2024-08-20T21:47:10.9147480Z lazy/test_reuse_ir 1/1 2024-08-20T21:47:10.9147871Z torch_np/numpy_tests/lib/test_twodim_base 1/1 2024-08-20T21:47:10.9148376Z test_subclass 1/1 2024-08-20T21:47:10.9148686Z functorch/test_minifier 1/1 2024-08-20T21:47:10.9149057Z test_fx_reinplace_pass 1/1 2024-08-20T21:47:10.9149408Z nn/test_dropout 1/1 2024-08-20T21:47:10.9149710Z test_monitor 1/1 2024-08-20T21:47:10.9150060Z torch_np/numpy_tests/core/test_dtype 1/1 2024-08-20T21:47:10.9150541Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2024-08-20T21:47:10.9150975Z test_namedtensor 1/1 2024-08-20T21:47:10.9151312Z test_functional_optim 1/1 2024-08-20T21:47:10.9151673Z test_native_functions 1/1 2024-08-20T21:47:10.9152071Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 2024-08-20T21:47:10.9152580Z torch_np/numpy_tests/lib/test_type_check 1/1 2024-08-20T21:47:10.9153025Z torch_np/test_random 1/1 2024-08-20T21:47:10.9153352Z test_type_hints 1/1 2024-08-20T21:47:10.9153673Z test_out_dtype_op 1/1 2024-08-20T21:47:10.9154005Z torch_np/test_dtype 1/1 2024-08-20T21:47:10.9154339Z test_comparison_utils 1/1 2024-08-20T21:47:10.9154699Z export/test_schema 1/1 2024-08-20T21:47:10.9155041Z test_per_overload_api 1/1 2024-08-20T21:47:10.9155442Z torch_np/numpy_tests/core/test_numerictypes 1/1 2024-08-20T21:47:10.9155904Z test_module_tracker 1/1 2024-08-20T21:47:10.9156254Z test_numpy_interop 1/1 2024-08-20T21:47:10.9156629Z test_set_default_mobile_cpu_allocator 1/1 2024-08-20T21:47:10.9157058Z profiler/test_profiler_tree 1/1 2024-08-20T21:47:10.9157487Z torch_np/numpy_tests/core/test_getlimits 1/1 2024-08-20T21:47:10.9157914Z test_license 1/1 2024-08-20T21:47:10.9158254Z export/test_functionalized_assertions 1/1 2024-08-20T21:47:10.9158677Z test_prims 1/1 2024-08-20T21:47:10.9158989Z profiler/test_execution_trace 1/1 2024-08-20T21:47:10.9159367Z nn/test_pruning 1/1 2024-08-20T21:47:10.9159696Z torch_np/test_nep50_examples 1/1 2024-08-20T21:47:10.9160072Z test_complex 1/1 2024-08-20T21:47:10.9160396Z test_functionalization_of_rng_ops 1/1 2024-08-20T21:47:10.9160823Z profiler/test_cpp_thread 1/1 2024-08-20T21:47:10.9161227Z torch_np/numpy_tests/core/test_dlpack 1/1 2024-08-20T21:47:10.9161645Z test_numba_integration 1/1 2024-08-20T21:47:10.9162013Z test_sparse_semi_structured 1/1 2024-08-20T21:47:10.9162463Z torch_np/numpy_tests/core/test_scalarinherit 1/1 2024-08-20T21:47:10.9162919Z test_compile_benchmark_util 1/1 2024-08-20T21:47:10.9163289Z test_vulkan 1/1 2024-08-20T21:47:10.9163583Z inductor/test_utils 1/1 2024-08-20T21:47:10.9180341Z inductor/test_inductor_utils 1/1 2024-08-20T21:47:10.9180773Z dynamo/test_base_output 1/1 2024-08-20T21:47:10.9181155Z inductor/test_debug_trace 1/1 2024-08-20T21:47:10.9181511Z dynamo/test_sdpa 1/1 2024-08-20T21:47:10.9181853Z inductor/test_xpu_basic 1/1 2024-08-20T21:47:10.9182223Z inductor/test_compile_worker 1/1 2024-08-20T21:47:10.9182590Z inductor/test_pad_mm 1/1 2024-08-20T21:47:10.9182979Z inductor/test_move_constructors_to_cuda 1/1 2024-08-20T21:47:10.9183473Z inductor/test_torchinductor_strided_blocks 1/1 2024-08-20T21:47:10.9183909Z inductor/test_metrics 1/1 2024-08-20T21:47:10.9184265Z dynamo/test_fx_passes_pre_grad 1/1 2024-08-20T21:47:10.9184669Z inductor/test_memory_planning 1/1 2024-08-20T21:47:10.9185093Z inductor/test_triton_extension_backend 1/1 2024-08-20T21:47:10.9185530Z inductor/test_autoheuristic 1/1 2024-08-20T21:47:10.9185915Z inductor/test_ck_backend 1/1 2024-08-20T21:47:10.9186284Z inductor/test_codegen_triton 1/1 2024-08-20T21:47:10.9186707Z inductor/test_custom_post_grad_passes 1/1 2024-08-20T21:47:10.9187161Z inductor/test_scatter_optimization 1/1 2024-08-20T21:47:10.9187564Z inductor/test_fp8 1/1 2024-08-20T21:47:10.9188072Z dynamo/test_profiler 1/1 2024-08-20T21:47:10.9188421Z inductor/test_multi_kernel 1/1 2024-08-20T21:47:10.9188828Z dynamo/test_backward_higher_order_ops 1/1 2024-08-20T21:47:10.9189290Z inductor/test_decompose_mem_bound_mm 1/1 2024-08-20T21:47:10.9189810Z inductor/test_dependencies 1/1 2024-08-20T21:47:10.9190197Z inductor/test_unbacked_symints 1/1 2024-08-20T21:47:10.9190598Z inductor/test_inplacing_pass 1/1 2024-08-20T21:47:10.9191001Z dynamo/test_recompile_ux 1/1 2024-08-20T21:47:10.9191361Z dynamo/test_reorder_logs 1/1 2024-08-20T21:47:10.9191823Z inductor/test_cudagraph_trees_expandable_segments 1/1 2024-08-20T21:47:10.9192329Z dynamo/test_bytecode_utils 1/1 2024-08-20T21:47:10.9192712Z dynamo/test_input_attr_tracking 1/1 2024-08-20T21:47:10.9193115Z test_cuda_multigpu 1/1 2024-08-20T21:47:10.9193438Z test_cuda 1/1 2024-08-20T21:47:10.9193705Z test_hub 1/1 2024-08-20T21:47:10.9193993Z functorch/test_ac 1/1 2024-08-20T21:47:10.9194317Z xpu/test_gemm 1/1 2024-08-20T21:47:10.9194621Z test_cuda_sanitizer 1/1 2024-08-20T21:47:10.9194964Z optim/test_swa_utils 1/1 2024-08-20T21:47:10.9195315Z optim/test_lrscheduler 1/1 2024-08-20T21:47:10.9436978Z Running doctests 1/1 ... [2024-08-20 21:47:10.943237] 2024-08-20T21:47:11.0628316Z Start doctest_module('/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch') 2024-08-20T21:47:11.0629450Z Listing tests 2024-08-20T21:47:11.6063792Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py line=334. 2024-08-20T21:47:11.6066115Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:11.6067537Z Registers the function implementation as the fallback for the given key. 2024-08-20T21:47:11.6068450Z 2024-08-20T21:47:11.6068977Z This function only works for a library with global namespace ("_"). 2024-08-20T21:47:11.6069808Z 2024-08-20T21:47:11.6069982Z Args: 2024-08-20T21:47:11.6071025Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2024-08-20T21:47:11.6072262Z to register a fallthrough. 2024-08-20T21:47:11.6073807Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2024-08-20T21:47:11.6075304Z the dispatch key that the library was created with. 2024-08-20T21:47:11.6076824Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2024-08-20T21:47:11.6078752Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2024-08-20T21:47:11.6079885Z 2024-08-20T21:47:11.6080089Z Example:: 2024-08-20T21:47:11.6080665Z >>> my_lib = Library("_", "IMPL") 2024-08-20T21:47:11.6081500Z >>> def fallback_kernel(op, *args, **kwargs): 2024-08-20T21:47:11.6082389Z >>> # Handle all autocast ops generically 2024-08-20T21:47:11.6083183Z >>> # ... 2024-08-20T21:47:11.6083862Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:47:11.6084632Z 2024-08-20T21:47:11.6086332Z Original Error: IndentationError('expected an indented block', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n')) 2024-08-20T21:47:11.6087867Z 2024-08-20T21:47:11.6155931Z my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:47:11.6156710Z ^ 2024-08-20T21:47:11.6235721Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py line=692. 2024-08-20T21:47:11.6238032Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:11.6239471Z Register a FakeTensor implementation ("fake impl") for this operator. 2024-08-20T21:47:11.6240317Z 2024-08-20T21:47:11.6240745Z Also sometimes known as a "meta kernel", "abstract impl". 2024-08-20T21:47:11.6241781Z 2024-08-20T21:47:11.6242379Z An "FakeTensor implementation" specifies the behavior of this operator on 2024-08-20T21:47:11.6243882Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2024-08-20T21:47:11.6245495Z certain properties (sizes/strides/storage_offset/device), it specifies 2024-08-20T21:47:11.6246812Z what the properties of the output Tensors are. 2024-08-20T21:47:11.6247460Z 2024-08-20T21:47:11.6254131Z The FakeTensor implementation has the same signature as the operator. 2024-08-20T21:47:11.6255615Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2024-08-20T21:47:11.6257059Z implementation, assume that all Tensor inputs to the operator are 2024-08-20T21:47:11.6261770Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-08-20T21:47:11.6263122Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-08-20T21:47:11.6264529Z The FakeTensor implementation must consist of only PyTorch operations 2024-08-20T21:47:11.6265907Z (and may not directly access the storage or data of any input or 2024-08-20T21:47:11.6266939Z intermediate Tensors). 2024-08-20T21:47:11.6267347Z 2024-08-20T21:47:11.6267723Z This API may be used as a decorator (see examples). 2024-08-20T21:47:11.6268411Z 2024-08-20T21:47:11.6268740Z For a detailed guide on custom ops, please see 2024-08-20T21:47:11.6269957Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2024-08-20T21:47:11.6270850Z 2024-08-20T21:47:11.6271032Z Examples: 2024-08-20T21:47:11.6271523Z >>> import torch 2024-08-20T21:47:11.6272114Z >>> import numpy as np 2024-08-20T21:47:11.6272961Z >>> from torch import Tensor 2024-08-20T21:47:11.6273634Z >>> 2024-08-20T21:47:11.6274596Z >>> # Example 1: an operator without data-dependent output shape 2024-08-20T21:47:11.6275933Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2024-08-20T21:47:11.6277501Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2024-08-20T21:47:11.6278798Z >>> raise NotImplementedError("Implementation goes here") 2024-08-20T21:47:11.6279726Z >>> 2024-08-20T21:47:11.6280423Z >>> @torch.library.register_fake("mylib::custom_linear") 2024-08-20T21:47:11.6281352Z >>> def _(x, weight, bias): 2024-08-20T21:47:11.6282055Z >>> assert x.dim() == 2 2024-08-20T21:47:11.6282785Z >>> assert weight.dim() == 2 2024-08-20T21:47:11.6283536Z >>> assert bias.dim() == 1 2024-08-20T21:47:11.6284351Z >>> assert x.shape[1] == weight.shape[1] 2024-08-20T21:47:11.6285270Z >>> assert weight.shape[0] == bias.shape[0] 2024-08-20T21:47:11.6286153Z >>> assert x.device == weight.device 2024-08-20T21:47:11.6287010Z >>> 2024-08-20T21:47:11.6287558Z >>> return (x @ weight.t()) + bias 2024-08-20T21:47:11.6288288Z >>> 2024-08-20T21:47:11.6288982Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2024-08-20T21:47:11.6289928Z >>> x = torch.randn(2, 3) 2024-08-20T21:47:11.6290628Z >>> w = torch.randn(3, 3) 2024-08-20T21:47:11.6291332Z >>> b = torch.randn(3) 2024-08-20T21:47:11.6292109Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2024-08-20T21:47:11.6292856Z >>> 2024-08-20T21:47:11.6293321Z >>> assert y.shape == (2, 3) 2024-08-20T21:47:11.6293985Z >>> 2024-08-20T21:47:11.6294833Z >>> # Example 2: an operator with data-dependent output shape 2024-08-20T21:47:11.6296091Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2024-08-20T21:47:11.6297372Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2024-08-20T21:47:11.6298225Z >>> x_np = x.numpy(force=True) 2024-08-20T21:47:11.6299113Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-08-20T21:47:11.6300055Z >>> return torch.tensor(res, device=x.device) 2024-08-20T21:47:11.6301093Z >>> 2024-08-20T21:47:11.6301771Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2024-08-20T21:47:11.6302680Z >>> def _(x): 2024-08-20T21:47:11.6303521Z >>> # Number of nonzero-elements is data-dependent. 2024-08-20T21:47:11.6304709Z >>> # Since we cannot peek at the data in an fake impl, 2024-08-20T21:47:11.6305812Z >>> # we use the ctx object to construct a new symint that 2024-08-20T21:47:11.6306933Z >>> # represents the data-dependent size. 2024-08-20T21:47:11.6307805Z >>> ctx = torch.library.get_ctx() 2024-08-20T21:47:11.6308637Z >>> nnz = ctx.new_dynamic_size() 2024-08-20T21:47:11.6309422Z >>> shape = [nnz, x.dim()] 2024-08-20T21:47:11.6310270Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-08-20T21:47:11.6311146Z >>> return result 2024-08-20T21:47:11.6311741Z >>> 2024-08-20T21:47:11.6312441Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-08-20T21:47:11.6313378Z >>> 2024-08-20T21:47:11.6313915Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2024-08-20T21:47:11.6315095Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2024-08-20T21:47:11.6316251Z >>> trace.print_readable() 2024-08-20T21:47:11.6316920Z >>> 2024-08-20T21:47:11.6317739Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2024-08-20T21:47:11.6318635Z 2024-08-20T21:47:11.6318795Z 2024-08-20T21:47:11.6320149Z Original Error: IndentationError('expected an indented block', ('', 38, 1, '_._ = None\n')) 2024-08-20T21:47:11.6321279Z 2024-08-20T21:47:11.6321466Z _._ = None 2024-08-20T21:47:11.6321871Z ^ 2024-08-20T21:47:12.0123011Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/cuda/__init__.py line=341. 2024-08-20T21:47:12.0125301Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:12.0126466Z Retrieves the CUDA runtime API module. 2024-08-20T21:47:12.0127070Z 2024-08-20T21:47:12.0127079Z 2024-08-20T21:47:12.0128493Z This function initializes the CUDA runtime environment if it is not already 2024-08-20T21:47:12.0129982Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2024-08-20T21:47:12.0131328Z runtime API module provides access to various CUDA runtime functions. 2024-08-20T21:47:12.0132161Z 2024-08-20T21:47:12.0132336Z Args: 2024-08-20T21:47:12.0132735Z ``None`` 2024-08-20T21:47:12.0133018Z 2024-08-20T21:47:12.0133174Z Returns: 2024-08-20T21:47:12.0133770Z module: The CUDA runtime API module (_cudart). 2024-08-20T21:47:12.0134362Z 2024-08-20T21:47:12.0134505Z Raises: 2024-08-20T21:47:12.0135492Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2024-08-20T21:47:12.0137242Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2024-08-20T21:47:12.0138428Z 2024-08-20T21:47:12.0138711Z Example of CUDA operations with profiling: 2024-08-20T21:47:12.0139443Z >>> import torch 2024-08-20T21:47:12.0140104Z >>> from torch.cuda import cudart, check_error 2024-08-20T21:47:12.0140857Z >>> import os 2024-08-20T21:47:12.0141348Z >>> 2024-08-20T21:47:12.0142000Z >>> os.environ['CUDA_PROFILE'] = '1' 2024-08-20T21:47:12.0142665Z >>> 2024-08-20T21:47:12.0143203Z >>> def perform_cuda_operations_with_streams(): 2024-08-20T21:47:12.0144089Z >>> stream = torch.cuda.Stream() 2024-08-20T21:47:12.0144857Z >>> with torch.cuda.stream(stream): 2024-08-20T21:47:12.0145879Z >>> x = torch.randn(100, 100, device='cuda') 2024-08-20T21:47:12.0146879Z >>> y = torch.randn(100, 100, device='cuda') 2024-08-20T21:47:12.0147692Z >>> z = torch.mul(x, y) 2024-08-20T21:47:12.0148370Z >>> return z 2024-08-20T21:47:12.0149681Z >>> 2024-08-20T21:47:12.0150189Z >>> torch.cuda.synchronize() 2024-08-20T21:47:12.0150997Z >>> print("====== Start nsys profiling ======") 2024-08-20T21:47:12.0151889Z >>> check_error(cudart().cudaProfilerStart()) 2024-08-20T21:47:12.0153019Z >>> with torch.autograd.profiler.emit_nvtx(): 2024-08-20T21:47:12.0154279Z >>> result = perform_cuda_operations_with_streams() 2024-08-20T21:47:12.0155188Z >>> print("CUDA operations completed.") 2024-08-20T21:47:12.0156126Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2024-08-20T21:47:12.0157075Z >>> print("====== End nsys profiling ======") 2024-08-20T21:47:12.0157660Z 2024-08-20T21:47:12.0158140Z To run this example and save the profiling information, execute: 2024-08-20T21:47:12.0160112Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:47:12.0161249Z 2024-08-20T21:47:12.0161839Z This command profiles the CUDA operations in the provided script and saves 2024-08-20T21:47:12.0163105Z the profiling information to a file named `trace_name.prof`. 2024-08-20T21:47:12.0164608Z The `--profile-from-start off` option ensures that profiling starts only 2024-08-20T21:47:12.0165815Z after the `cudaProfilerStart` call in the script. 2024-08-20T21:47:12.0167192Z The `--csv` and `--print-summary` options format the profiling output as a 2024-08-20T21:47:12.0168330Z CSV file and print a summary, respectively. 2024-08-20T21:47:12.0169668Z The `-o` option specifies the output file name, and the `-f` option forces the 2024-08-20T21:47:12.0170932Z overwrite of the output file if it already exists. 2024-08-20T21:47:12.0171763Z 2024-08-20T21:47:12.0174074Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n')) 2024-08-20T21:47:12.0175788Z 2024-08-20T21:47:12.0176862Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:47:12.0178155Z ^ 2024-08-20T21:47:16.4896111Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/device_mesh.py line=473. 2024-08-20T21:47:16.4898682Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:16.4899550Z 2024-08-20T21:47:16.4900271Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2024-08-20T21:47:16.4901975Z The submesh created consists of the dimensions and the communicators indicated by 2024-08-20T21:47:16.4903156Z ``mesh_dim_names`` 2024-08-20T21:47:16.4903489Z 2024-08-20T21:47:16.4903653Z Args: 2024-08-20T21:47:16.4904513Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2024-08-20T21:47:16.4905834Z mesh dimension of the DeviceMesh to create the submesh for. 2024-08-20T21:47:16.4906747Z Returns: 2024-08-20T21:47:16.4907245Z A :class:`DeviceMesh` object 2024-08-20T21:47:16.4907716Z 2024-08-20T21:47:16.4908469Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2024-08-20T21:47:16.4909690Z In the first example: 2024-08-20T21:47:16.4910726Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2024-08-20T21:47:16.4912469Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2024-08-20T21:47:16.4914114Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2024-08-20T21:47:16.4915573Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2024-08-20T21:47:16.4917121Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2024-08-20T21:47:16.4918664Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2024-08-20T21:47:16.4919936Z 2024-08-20T21:47:16.4920145Z In the second example: 2024-08-20T21:47:16.4921270Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2024-08-20T21:47:16.4923249Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2024-08-20T21:47:16.4925099Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2024-08-20T21:47:16.4926881Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2024-08-20T21:47:16.4927478Z 2024-08-20T21:47:16.4927593Z Example:: 2024-08-20T21:47:16.4927874Z >>> # xdoctest: +SKIP("no rank") 2024-08-20T21:47:16.4928368Z >>> from torch.distributed.device_mesh import DeviceMesh 2024-08-20T21:47:16.4928846Z >>> 2024-08-20T21:47:16.4929258Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2024-08-20T21:47:16.4930010Z >>> # of cross-host(dim 0), and within-host (dim 1). 2024-08-20T21:47:16.4930712Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:47:16.4931336Z >>> tp_mesh = mesh_2d["tp"] 2024-08-20T21:47:16.4931687Z >>> dp_mesh = mesh_2d["dp"] 2024-08-20T21:47:16.4932025Z >>> 2024-08-20T21:47:16.4932280Z >>> # Initialize a 3D mesh. 2024-08-20T21:47:16.4932886Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2024-08-20T21:47:16.4933845Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2024-08-20T21:47:16.4934562Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2024-08-20T21:47:16.4934971Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2024-08-20T21:47:16.4935264Z 2024-08-20T21:47:16.4936002Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 48, None)) 2024-08-20T21:47:16.4936673Z 2024-08-20T21:47:16.4937001Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:47:16.4937638Z ^ 2024-08-20T21:47:22.2077653Z gathering tests 2024-08-20T21:47:22.2095553Z running 794 test(s) 2024-08-20T21:47:22.2117477Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::typename:0, line 980 <- wrt source file 2024-08-20T21:47:22.2183903Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::typename:0 2024-08-20T21:47:22.2185389Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::is_tensor:0, line 1016 <- wrt source file 2024-08-20T21:47:22.2189028Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::is_tensor:0 2024-08-20T21:47:22.2190583Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::set_default_device:0, line 1085 <- wrt source file 2024-08-20T21:47:22.2192785Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::set_default_device:0 2024-08-20T21:47:22.2195029Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1134 <- wrt source file 2024-08-20T21:47:22.2196655Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::set_default_tensor_type:0 2024-08-20T21:47:22.2198757Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::set_default_dtype:0, line 1171 <- wrt source file 2024-08-20T21:47:22.2200796Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::set_default_dtype:0 2024-08-20T21:47:22.2203241Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1326 <- wrt source file 2024-08-20T21:47:22.2205313Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2024-08-20T21:47:22.2207412Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::compile:0, line 2412 <- wrt source file 2024-08-20T21:47:22.2209757Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::compile:0 2024-08-20T21:47:22.2212098Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2661 <- wrt source file 2024-08-20T21:47:22.2213850Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2024-08-20T21:47:22.2215631Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_C.cpython-38-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2024-08-20T21:47:22.2217367Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_C.cpython-38-x86_64-linux-gnu.so::Generator:0 2024-08-20T21:47:22.2219143Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_C.cpython-38-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2024-08-20T21:47:22.2220877Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_C.cpython-38-x86_64-linux-gnu.so::_LinAlgError:0 2024-08-20T21:47:22.2222514Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2024-08-20T21:47:22.2223986Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_custom_ops.py::custom_op:0 2024-08-20T21:47:22.2225464Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_custom_ops.py::impl:0, line 137 <- wrt source file 2024-08-20T21:47:22.2226871Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_custom_ops.py::impl:0 2024-08-20T21:47:22.2228375Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_custom_ops.py::impl_abstract:0, line 206 <- wrt source file 2024-08-20T21:47:22.2593337Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_custom_ops.py::impl_abstract:0 2024-08-20T21:47:22.2595328Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2024-08-20T21:47:22.2597004Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_namedtensor_internals.py::update_names:0 2024-08-20T21:47:22.2598659Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 546 <- wrt source file 2024-08-20T21:47:22.2710112Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.register_hook:0 2024-08-20T21:47:22.2865139Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 603 <- wrt source file 2024-08-20T21:47:22.2866988Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2024-08-20T21:47:22.2868714Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1232 <- wrt source file 2024-08-20T21:47:22.2996829Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.refine_names:0 2024-08-20T21:47:22.2999506Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1277 <- wrt source file 2024-08-20T21:47:22.3006613Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.align_to:0 2024-08-20T21:47:22.3008442Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.rename:0, line 1350 <- wrt source file 2024-08-20T21:47:22.3016871Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.rename:0 2024-08-20T21:47:22.3018467Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1380 <- wrt source file 2024-08-20T21:47:22.3073692Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2024-08-20T21:47:22.3075280Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1403 <- wrt source file 2024-08-20T21:47:22.3079293Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py::Tensor.dim_order:0 2024-08-20T21:47:22.3080861Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2024-08-20T21:47:22.3102464Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor_str.py::set_printoptions:0 2024-08-20T21:47:22.3104090Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::broadcast_tensors:0, line 63 <- wrt source file 2024-08-20T21:47:22.3110565Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::broadcast_tensors:0 2024-08-20T21:47:22.3112170Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::broadcast_shapes:0, line 91 <- wrt source file 2024-08-20T21:47:22.3114760Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::broadcast_shapes:0 2024-08-20T21:47:22.3116296Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::split:0, line 178 <- wrt source file 2024-08-20T21:47:22.3129270Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::split:0 2024-08-20T21:47:22.3130765Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::einsum:0, line 287 <- wrt source file 2024-08-20T21:47:22.3310984Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::einsum:0 2024-08-20T21:47:22.3312500Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::meshgrid:0, line 479 <- wrt source file 2024-08-20T21:47:22.3347354Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::meshgrid:0 2024-08-20T21:47:22.3348897Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::_unique_impl:0, line 857 <- wrt source file 2024-08-20T21:47:22.3428625Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::_unique_impl:0 2024-08-20T21:47:22.3430263Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1014 <- wrt source file 2024-08-20T21:47:22.3441984Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::_unique_consecutive_impl:0 2024-08-20T21:47:22.3443616Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::tensordot:0, line 1289 <- wrt source file 2024-08-20T21:47:22.3546902Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::tensordot:0 2024-08-20T21:47:22.3548462Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::cartesian_prod:0, line 1373 <- wrt source file 2024-08-20T21:47:22.3555080Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::cartesian_prod:0 2024-08-20T21:47:22.3556864Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::block_diag:0, line 1407 <- wrt source file 2024-08-20T21:47:22.3566450Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::block_diag:0 2024-08-20T21:47:22.3568031Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::cdist:0, line 1458 <- wrt source file 2024-08-20T21:47:22.3582809Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::cdist:0 2024-08-20T21:47:22.3584330Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::atleast_1d:0, line 1499 <- wrt source file 2024-08-20T21:47:22.3601523Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::atleast_1d:0 2024-08-20T21:47:22.3603051Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::atleast_2d:0, line 1535 <- wrt source file 2024-08-20T21:47:22.3623852Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::atleast_2d:0 2024-08-20T21:47:22.3625508Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::atleast_3d:0, line 1573 <- wrt source file 2024-08-20T21:47:22.3648001Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::atleast_3d:0 2024-08-20T21:47:22.3649498Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::norm:0, line 1746 <- wrt source file 2024-08-20T21:47:22.3686808Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::norm:0 2024-08-20T21:47:22.3688348Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::unravel_index:0, line 1913 <- wrt source file 2024-08-20T21:47:22.3720052Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::unravel_index:0 2024-08-20T21:47:22.3722168Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::chain_matmul:0, line 2013 <- wrt source file 2024-08-20T21:47:22.3724506Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::chain_matmul:0 2024-08-20T21:47:22.3726554Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::_lu_impl:0, line 2113 <- wrt source file 2024-08-20T21:47:22.3728118Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/functional.py::_lu_impl:0 2024-08-20T21:47:22.3729538Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::list:0, line 468 <- wrt source file 2024-08-20T21:47:22.3731077Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::list:0 2024-08-20T21:47:22.3732796Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::help:0, line 528 <- wrt source file 2024-08-20T21:47:22.3734139Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::help:0 2024-08-20T21:47:22.3735481Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::load:0, line 619 <- wrt source file 2024-08-20T21:47:22.3737060Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::load:0 2024-08-20T21:47:22.3738673Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::_load_local:0, line 667 <- wrt source file 2024-08-20T21:47:22.3740083Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::_load_local:0 2024-08-20T21:47:22.3741583Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::download_url_to_file:0, line 698 <- wrt source file 2024-08-20T21:47:22.3743316Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::download_url_to_file:0 2024-08-20T21:47:22.3744982Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::load_state_dict_from_url:0, line 838 <- wrt source file 2024-08-20T21:47:22.3746607Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/hub.py::load_state_dict_from_url:0 2024-08-20T21:47:22.3748181Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::Library.define:0, line 129 <- wrt source file 2024-08-20T21:47:22.3749686Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::Library.define:0 2024-08-20T21:47:22.3751323Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 217 <- wrt source file 2024-08-20T21:47:22.3815953Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2024-08-20T21:47:22.3817592Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::Library.impl:0, line 268 <- wrt source file 2024-08-20T21:47:22.3821552Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::Library.impl:0 2024-08-20T21:47:22.3823067Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::define:0, line 452 <- wrt source file 2024-08-20T21:47:22.3898633Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::define:0 2024-08-20T21:47:22.3900201Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::impl:0, line 519 <- wrt source file 2024-08-20T21:47:22.3909946Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::impl:0 2024-08-20T21:47:22.3911626Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_kernel:0, line 641 <- wrt source file 2024-08-20T21:47:22.3913259Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_kernel:0 2024-08-20T21:47:22.3914933Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_autograd:0, line 842 <- wrt source file 2024-08-20T21:47:22.4109429Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_autograd:0 2024-08-20T21:47:22.4111231Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_torch_dispatch:0, line 958 <- wrt source file 2024-08-20T21:47:22.4209316Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_torch_dispatch:0 2024-08-20T21:47:22.4210950Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_vmap:0, line 1047 <- wrt source file 2024-08-20T21:47:22.4406098Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::register_vmap:0 2024-08-20T21:47:22.4407718Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::opcheck:0, line 1270 <- wrt source file 2024-08-20T21:47:22.4409169Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py::opcheck:0 2024-08-20T21:47:22.4410718Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::get_ignored_functions:0, line 111 <- wrt source file 2024-08-20T21:47:22.4414242Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::get_ignored_functions:0 2024-08-20T21:47:22.4415885Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::get_testing_overrides:0, line 418 <- wrt source file 2024-08-20T21:47:22.4457245Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::get_testing_overrides:0 2024-08-20T21:47:22.4459012Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::wrap_torch_function:0, line 1564 <- wrt source file 2024-08-20T21:47:22.4461916Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::wrap_torch_function:0 2024-08-20T21:47:22.4463566Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::handle_torch_function:0, line 1699 <- wrt source file 2024-08-20T21:47:22.4466392Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::handle_torch_function:0 2024-08-20T21:47:22.4468075Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1947 <- wrt source file 2024-08-20T21:47:22.4501855Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2024-08-20T21:47:22.4503513Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::is_tensor_like:0, line 1966 <- wrt source file 2024-08-20T21:47:22.4510961Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/overrides.py::is_tensor_like:0 2024-08-20T21:47:22.4512892Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2024-08-20T21:47:22.4514621Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/quasirandom.py::SobolEngine:0 2024-08-20T21:47:22.4516578Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::add_safe_globals:0, line 216 <- wrt source file 2024-08-20T21:47:22.4518217Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::add_safe_globals:0 2024-08-20T21:47:22.4519827Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::safe_globals:0, line 241 <- wrt source file 2024-08-20T21:47:22.4521393Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::safe_globals:0 2024-08-20T21:47:22.4523513Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::register_package:0, line 304 <- wrt source file 2024-08-20T21:47:22.4525160Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::register_package:0 2024-08-20T21:47:22.4526815Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::save:0, line 765 <- wrt source file 2024-08-20T21:47:22.4528298Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::save:0 2024-08-20T21:47:22.4530224Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::load:0, line 1116 <- wrt source file 2024-08-20T21:47:22.4531841Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/serialization.py::load:0 2024-08-20T21:47:22.4533363Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/torch_version.py::TorchVersion:0, line 18 <- wrt source file 2024-08-20T21:47:22.4535052Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/torch_version.py::TorchVersion:0 2024-08-20T21:47:22.4536682Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 134 <- wrt source file 2024-08-20T21:47:22.4538593Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2024-08-20T21:47:22.4540411Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/__init__.py::list_options:0, line 164 <- wrt source file 2024-08-20T21:47:22.4542092Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/__init__.py::list_options:0 2024-08-20T21:47:22.4543877Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1747 <- wrt source file 2024-08-20T21:47:22.4546218Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2024-08-20T21:47:22.4548066Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 103 <- wrt source file 2024-08-20T21:47:22.4549680Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2024-08-20T21:47:22.4551365Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 146 <- wrt source file 2024-08-20T21:47:23.4048429Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2024-08-20T21:47:23.4050264Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 255 <- wrt source file 2024-08-20T21:47:23.4052077Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2024-08-20T21:47:23.4054022Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::is_compiling:0, line 286 <- wrt source file 2024-08-20T21:47:23.4055748Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::is_compiling:0 2024-08-20T21:47:23.4057861Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 307 <- wrt source file 2024-08-20T21:47:23.4060193Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2024-08-20T21:47:23.4062424Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/export/__init__.py::save:0, line 214 <- wrt source file 2024-08-20T21:47:23.4064179Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/export/__init__.py::save:0 2024-08-20T21:47:23.4066060Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/export/__init__.py::load:0, line 298 <- wrt source file 2024-08-20T21:47:23.4067812Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/export/__init__.py::load:0 2024-08-20T21:47:23.4069971Z * DOCTEST : 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* DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 454 <- wrt source file 2024-08-20T21:47:23.4351696Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2024-08-20T21:47:23.4355077Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 540 <- wrt source file 2024-08-20T21:47:23.4469994Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2024-08-20T21:47:23.4473306Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 190 <- wrt source file 2024-08-20T21:47:23.4477719Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2024-08-20T21:47:23.4481428Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 203 <- wrt source file 2024-08-20T21:47:23.4485057Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2024-08-20T21:47:23.4488606Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 825 <- wrt source file 2024-08-20T21:47:23.4874386Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2024-08-20T21:47:23.4877386Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/apis.py::vmap:0, line 96 <- wrt source file 2024-08-20T21:47:23.4986396Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/apis.py::vmap:0 2024-08-20T21:47:23.4989166Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/apis.py::grad:0, line 324 <- wrt source file 2024-08-20T21:47:23.4991808Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/apis.py::grad:0 2024-08-20T21:47:23.4994827Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2024-08-20T21:47:23.4998083Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2024-08-20T21:47:23.5001206Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 271 <- wrt source file 2024-08-20T21:47:23.5104607Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2024-08-20T21:47:23.5107601Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 510 <- wrt source file 2024-08-20T21:47:23.5196293Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2024-08-20T21:47:23.5199265Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1064 <- wrt source file 2024-08-20T21:47:23.6034796Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2024-08-20T21:47:23.6038287Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1219 <- wrt source file 2024-08-20T21:47:23.6128002Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2024-08-20T21:47:23.6154779Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1384 <- wrt source file 2024-08-20T21:47:23.6157858Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2024-08-20T21:47:23.6161030Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1548 <- wrt source file 2024-08-20T21:47:23.6164287Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2024-08-20T21:47:23.6167494Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1748 <- wrt source file 2024-08-20T21:47:23.6375992Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2024-08-20T21:47:23.6379411Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2024-08-20T21:47:23.6382506Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/functional_call.py::functional_call:0 2024-08-20T21:47:23.6385595Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2024-08-20T21:47:23.6388785Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2024-08-20T21:47:23.6392330Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0, line 110 <- wrt source file 2024-08-20T21:47:23.6396192Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0 2024-08-20T21:47:23.6399898Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 69 <- wrt source file 2024-08-20T21:47:23.6403293Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2024-08-20T21:47:23.6406749Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 81 <- wrt source file 2024-08-20T21:47:23.6409595Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_higher_order_ops/cond.py::cond:0 2024-08-20T21:47:23.6412651Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_higher_order_ops/while_loop.py::while_loop:0, line 90 <- wrt source file 2024-08-20T21:47:23.6415800Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_higher_order_ops/while_loop.py::while_loop:0 2024-08-20T21:47:23.6419191Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1166 <- wrt source file 2024-08-20T21:47:23.6422795Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2024-08-20T21:47:23.6426111Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::custom_op:0, line 83 <- wrt source file 2024-08-20T21:47:23.6860292Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::custom_op:0 2024-08-20T21:47:23.6863547Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 212 <- wrt source file 2024-08-20T21:47:23.6950649Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2024-08-20T21:47:23.6954095Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 281 <- wrt source file 2024-08-20T21:47:23.6957448Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2024-08-20T21:47:23.6960797Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0, line 401 <- wrt source file 2024-08-20T21:47:23.7036430Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0 2024-08-20T21:47:23.7040198Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 524 <- wrt source file 2024-08-20T21:47:23.7209935Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2024-08-20T21:47:23.7212862Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 698 <- wrt source file 2024-08-20T21:47:23.7383271Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2024-08-20T21:47:23.7386655Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 184 <- wrt source file 2024-08-20T21:47:23.7389980Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2024-08-20T21:47:23.7393334Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 159 <- wrt source file 2024-08-20T21:47:23.7463312Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2024-08-20T21:47:23.7466563Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 45 <- wrt source file 2024-08-20T21:47:23.7470798Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/infer_schema.py::infer_schema:0 2024-08-20T21:47:23.7473914Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/triton.py::triton_op:0, line 46 <- wrt source file 2024-08-20T21:47:23.7476815Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/triton.py::triton_op:0 2024-08-20T21:47:23.7479729Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/triton.py::capture_triton:0, line 172 <- wrt source file 2024-08-20T21:47:23.7482662Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_library/triton.py::capture_triton:0 2024-08-20T21:47:23.7485606Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_logging/_internal.py::set_logs:0, line 417 <- wrt source file 2024-08-20T21:47:23.7488497Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_logging/_internal.py::set_logs:0 2024-08-20T21:47:23.7491453Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 170 <- wrt source file 2024-08-20T21:47:23.7515237Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2024-08-20T21:47:23.7518380Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 305 <- wrt source file 2024-08-20T21:47:23.7521511Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2024-08-20T21:47:23.7524687Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 374 <- wrt source file 2024-08-20T21:47:23.7564974Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2024-08-20T21:47:23.7568250Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 494 <- wrt source file 2024-08-20T21:47:23.7571711Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2024-08-20T21:47:23.7575248Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 783 <- wrt source file 2024-08-20T21:47:23.7685032Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2024-08-20T21:47:23.7688511Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 888 <- wrt source file 2024-08-20T21:47:23.7746110Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2024-08-20T21:47:23.7749454Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 996 <- wrt source file 2024-08-20T21:47:23.7801065Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2024-08-20T21:47:23.7804278Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1061 <- wrt source file 2024-08-20T21:47:23.7807650Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2024-08-20T21:47:23.7810943Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1282 <- wrt source file 2024-08-20T21:47:23.7880715Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2024-08-20T21:47:23.7883979Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1348 <- wrt source file 2024-08-20T21:47:23.7887392Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2024-08-20T21:47:23.7890779Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1411 <- wrt source file 2024-08-20T21:47:23.7893939Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2024-08-20T21:47:23.7897043Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1456 <- wrt source file 2024-08-20T21:47:23.7900178Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2024-08-20T21:47:23.7903368Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1566 <- wrt source file 2024-08-20T21:47:23.7906410Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2024-08-20T21:47:23.7909494Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1823 <- wrt source file 2024-08-20T21:47:23.7912967Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2024-08-20T21:47:23.7915706Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 85 <- wrt source file 2024-08-20T21:47:23.7918522Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_prims/context.py::TorchRefsMode:0 2024-08-20T21:47:23.7921390Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 60 <- wrt source file 2024-08-20T21:47:23.7924617Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2024-08-20T21:47:23.7928348Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 23 <- wrt source file 2024-08-20T21:47:23.7932159Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2024-08-20T21:47:23.7936501Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 22 <- wrt source file 2024-08-20T21:47:23.7940725Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2024-08-20T21:47:23.7944865Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2024-08-20T21:47:23.7948834Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2024-08-20T21:47:23.7952907Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 66 <- wrt source file 2024-08-20T21:47:23.7956996Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2024-08-20T21:47:23.7961084Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 140 <- wrt source file 2024-08-20T21:47:23.7965067Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2024-08-20T21:47:23.7968841Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 25 <- wrt source file 2024-08-20T21:47:23.8005692Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2024-08-20T21:47:23.8009035Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 318 <- wrt source file 2024-08-20T21:47:23.8041629Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2024-08-20T21:47:23.8044598Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2024-08-20T21:47:23.8046777Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2024-08-20T21:47:23.8048522Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2024-08-20T21:47:23.8050217Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2024-08-20T21:47:23.8052004Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2024-08-20T21:47:23.8053818Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2024-08-20T21:47:23.8055578Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2024-08-20T21:47:23.8057348Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2024-08-20T21:47:23.8059458Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2024-08-20T21:47:23.8062686Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2024-08-20T21:47:23.8065223Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 42 <- wrt source file 2024-08-20T21:47:23.8067567Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2024-08-20T21:47:23.8070519Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 123 <- wrt source file 2024-08-20T21:47:23.8074031Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2024-08-20T21:47:23.8076186Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 207 <- wrt source file 2024-08-20T21:47:23.8078194Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2024-08-20T21:47:23.8081519Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 293 <- wrt source file 2024-08-20T21:47:23.8084373Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2024-08-20T21:47:23.8087066Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 375 <- wrt source file 2024-08-20T21:47:23.8089102Z * SKIPPED: 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/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2024-08-20T21:47:23.8104857Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2024-08-20T21:47:23.8108102Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2024-08-20T21:47:23.8111468Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1203 <- wrt source file 2024-08-20T21:47:23.8114839Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2024-08-20T21:47:23.8118301Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1269 <- wrt source file 2024-08-20T21:47:23.8121894Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2024-08-20T21:47:23.8125505Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1322 <- wrt source file 2024-08-20T21:47:23.8128925Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2024-08-20T21:47:23.8132299Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2024-08-20T21:47:23.8135563Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2024-08-20T21:47:23.8138790Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 377 <- wrt source file 2024-08-20T21:47:23.8141897Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2024-08-20T21:47:23.8145053Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2024-08-20T21:47:23.8148154Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2024-08-20T21:47:23.8151278Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2024-08-20T21:47:23.8154389Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2024-08-20T21:47:23.8157698Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2024-08-20T21:47:23.8161056Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2024-08-20T21:47:23.8164448Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2024-08-20T21:47:23.8167852Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2024-08-20T21:47:23.8171279Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2024-08-20T21:47:23.8174795Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2024-08-20T21:47:23.8178257Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 112 <- wrt source file 2024-08-20T21:47:23.8181714Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2024-08-20T21:47:23.8185268Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 276 <- wrt source file 2024-08-20T21:47:23.8188826Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2024-08-20T21:47:23.8192506Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 24 <- wrt source file 2024-08-20T21:47:23.8196237Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2024-08-20T21:47:23.8200243Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 177 <- wrt source file 2024-08-20T21:47:23.8203905Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2024-08-20T21:47:23.8207425Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2024-08-20T21:47:23.8210588Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2024-08-20T21:47:23.8213736Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 23 <- wrt source file 2024-08-20T21:47:23.8216770Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2024-08-20T21:47:23.8220521Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0, line 62 <- wrt source file 2024-08-20T21:47:23.8224859Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0 2024-08-20T21:47:23.8229282Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2024-08-20T21:47:23.8233683Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2024-08-20T21:47:23.8237980Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2024-08-20T21:47:23.8242072Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2024-08-20T21:47:23.8245850Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 22 <- wrt source file 2024-08-20T21:47:23.8249300Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2024-08-20T21:47:23.8252814Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2024-08-20T21:47:23.8256383Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2024-08-20T21:47:23.8260151Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 243 <- wrt source file 2024-08-20T21:47:23.8263990Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2024-08-20T21:47:23.8267541Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 178 <- wrt source file 2024-08-20T21:47:23.8270771Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2024-08-20T21:47:23.8274240Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2024-08-20T21:47:23.8277832Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2024-08-20T21:47:23.8281463Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2024-08-20T21:47:23.8285014Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2024-08-20T21:47:23.8288638Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2024-08-20T21:47:23.8292116Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2024-08-20T21:47:23.8295732Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2024-08-20T21:47:23.8299394Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2024-08-20T21:47:23.8302798Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 93 <- wrt source file 2024-08-20T21:47:23.8305866Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/observer.py::_with_args:0 2024-08-20T21:47:23.8309087Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 115 <- wrt source file 2024-08-20T21:47:23.8312387Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2024-08-20T21:47:23.8315636Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2024-08-20T21:47:23.8318711Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2024-08-20T21:47:23.8321880Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 286 <- wrt source file 2024-08-20T21:47:23.8325038Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2024-08-20T21:47:23.8328349Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 424 <- wrt source file 2024-08-20T21:47:23.8331610Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2024-08-20T21:47:23.8334883Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 595 <- wrt source file 2024-08-20T21:47:23.8338053Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2024-08-20T21:47:23.8341400Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 654 <- wrt source file 2024-08-20T21:47:23.8344859Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2024-08-20T21:47:23.8348504Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 706 <- wrt source file 2024-08-20T21:47:23.8352306Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2024-08-20T21:47:23.8355935Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 49 <- wrt source file 2024-08-20T21:47:23.8359196Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2024-08-20T21:47:23.8362570Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 123 <- wrt source file 2024-08-20T21:47:23.8365939Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2024-08-20T21:47:23.8369346Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 215 <- wrt source file 2024-08-20T21:47:23.8372731Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2024-08-20T21:47:23.8376017Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 145 <- wrt source file 2024-08-20T21:47:23.8379226Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2024-08-20T21:47:23.8382429Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 512 <- wrt source file 2024-08-20T21:47:23.8385648Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2024-08-20T21:47:23.8388905Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 534 <- wrt source file 2024-08-20T21:47:23.8392167Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2024-08-20T21:47:23.8395462Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 548 <- wrt source file 2024-08-20T21:47:23.8398674Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2024-08-20T21:47:23.8401894Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 570 <- wrt source file 2024-08-20T21:47:23.8405055Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2024-08-20T21:47:23.8408325Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 696 <- wrt source file 2024-08-20T21:47:23.8411496Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2024-08-20T21:47:23.8414929Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 214 <- wrt source file 2024-08-20T21:47:23.8418583Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2024-08-20T21:47:23.8422305Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2024-08-20T21:47:23.8426024Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2024-08-20T21:47:23.8429876Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 84 <- wrt source file 2024-08-20T21:47:23.8433614Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2024-08-20T21:47:23.8437805Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 339 <- wrt source file 2024-08-20T21:47:23.8442466Z * SKIPPED: 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/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2024-08-20T21:47:23.8466299Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2024-08-20T21:47:23.8471138Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2024-08-20T21:47:23.8475582Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 185 <- wrt source file 2024-08-20T21:47:23.8479239Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2024-08-20T21:47:23.8483018Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 439 <- wrt source file 2024-08-20T21:47:23.8486983Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2024-08-20T21:47:23.8490474Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 27 <- wrt source file 2024-08-20T21:47:23.8493517Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2024-08-20T21:47:23.8496522Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 83 <- wrt source file 2024-08-20T21:47:23.8499407Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/forward_ad.py::make_dual:0 2024-08-20T21:47:23.8502374Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 153 <- wrt source file 2024-08-20T21:47:23.8505310Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2024-08-20T21:47:23.8508420Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 189 <- wrt source file 2024-08-20T21:47:23.8511442Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/forward_ad.py::dual_level:0 2024-08-20T21:47:23.8514606Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 66 <- wrt source file 2024-08-20T21:47:23.8517954Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2024-08-20T21:47:23.8521332Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 109 <- wrt source file 2024-08-20T21:47:23.8524661Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2024-08-20T21:47:23.8528004Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 160 <- wrt source file 2024-08-20T21:47:23.8531200Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2024-08-20T21:47:23.8534581Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 207 <- wrt source file 2024-08-20T21:47:23.8538083Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2024-08-20T21:47:23.8541593Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 236 <- wrt source file 2024-08-20T21:47:23.8545020Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2024-08-20T21:47:23.8548239Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::Function:0, line 479 <- wrt source file 2024-08-20T21:47:23.8551068Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/function.py::Function:0 2024-08-20T21:47:23.8553912Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::vjp:0, line 294 <- wrt source file 2024-08-20T21:47:23.8556710Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::vjp:0 2024-08-20T21:47:23.8559534Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::jvp:0, line 396 <- wrt source file 2024-08-20T21:47:23.8562319Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::jvp:0 2024-08-20T21:47:23.8565215Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::jacobian:0, line 631 <- wrt source file 2024-08-20T21:47:23.8568158Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::jacobian:0 2024-08-20T21:47:23.8571090Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::hessian:0, line 885 <- wrt source file 2024-08-20T21:47:23.8574129Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::hessian:0 2024-08-20T21:47:23.8577005Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::vhp:0, line 1001 <- wrt source file 2024-08-20T21:47:23.8579789Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::vhp:0 2024-08-20T21:47:23.8583393Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::hvp:0, line 1100 <- wrt source file 2024-08-20T21:47:23.8586274Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/functional.py::hvp:0 2024-08-20T21:47:23.8589086Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2024-08-20T21:47:23.8591877Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::no_grad:0 2024-08-20T21:47:23.8594790Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2024-08-20T21:47:23.8597714Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2024-08-20T21:47:23.8600713Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2024-08-20T21:47:23.8603812Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2024-08-20T21:47:23.8606952Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 232 <- wrt source file 2024-08-20T21:47:23.8609954Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2024-08-20T21:47:23.8612887Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::Node.name:0, line 62 <- wrt source file 2024-08-20T21:47:23.8615648Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::Node.name:0 2024-08-20T21:47:23.8618584Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 112 <- wrt source file 2024-08-20T21:47:23.8621594Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::Node.register_hook:0 2024-08-20T21:47:23.8624679Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 149 <- wrt source file 2024-08-20T21:47:23.8627738Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2024-08-20T21:47:23.8630800Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 272 <- wrt source file 2024-08-20T21:47:23.8633799Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2024-08-20T21:47:23.8636767Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 337 <- wrt source file 2024-08-20T21:47:23.8639576Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::save_on_cpu:0 2024-08-20T21:47:23.8642635Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 394 <- wrt source file 2024-08-20T21:47:23.8645821Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2024-08-20T21:47:23.8649098Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 471 <- wrt source file 2024-08-20T21:47:23.8652223Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2024-08-20T21:47:23.8655470Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 727 <- wrt source file 2024-08-20T21:47:23.8658848Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2024-08-20T21:47:23.8662032Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::profile:0, line 176 <- wrt source file 2024-08-20T21:47:23.8664858Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::profile:0 2024-08-20T21:47:23.8667829Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::record_function:0, line 695 <- wrt source file 2024-08-20T21:47:23.8670832Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::record_function:0 2024-08-20T21:47:23.8673921Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::emit_itt:0, line 829 <- wrt source file 2024-08-20T21:47:23.8676753Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::emit_itt:0 2024-08-20T21:47:23.8679658Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 902 <- wrt source file 2024-08-20T21:47:23.8682507Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2024-08-20T21:47:23.8685366Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2024-08-20T21:47:23.8688270Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2024-08-20T21:47:23.8691188Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 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source file 2024-08-20T21:47:23.8928140Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0 2024-08-20T21:47:23.8931853Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file 2024-08-20T21:47:23.8935522Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0 2024-08-20T21:47:23.8939395Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_shard/sharded_tensor/api.py::ShardedTensor._init_from_local_tensor:0, line 805 <- wrt source file 2024-08-20T21:47:23.8943319Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_shard/sharded_tensor/api.py::ShardedTensor._init_from_local_tensor:0 2024-08-20T21:47:23.8947131Z * DOCTEST : 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line 47 <- wrt source file 2024-08-20T21:47:23.8987426Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_tensor/experimental/register_sharding.py::register_sharding:0 2024-08-20T21:47:23.8991081Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_tensor/ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file 2024-08-20T21:47:23.8994515Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_tensor/ops/_common_rules.py::pointwise_rule:0 2024-08-20T21:47:23.8997934Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 54 <- wrt source file 2024-08-20T21:47:23.9001258Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0 2024-08-20T21:47:23.9004506Z * DOCTEST : 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1907 <- wrt source file 2024-08-20T21:47:23.9310527Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0 2024-08-20T21:47:23.9314569Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 51 <- wrt source file 2024-08-20T21:47:23.9318132Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0 2024-08-20T21:47:23.9321488Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 236 <- wrt source file 2024-08-20T21:47:23.9324534Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0 2024-08-20T21:47:23.9327768Z * DOCTEST : 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2024-08-20T21:47:23.9484938Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0 2024-08-20T21:47:23.9488788Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 54 <- wrt source file 2024-08-20T21:47:23.9492288Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0 2024-08-20T21:47:23.9495861Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file 2024-08-20T21:47:23.9499454Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0 2024-08-20T21:47:23.9502989Z * DOCTEST : 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2024-08-20T21:47:23.9545541Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 29 <- wrt source file 2024-08-20T21:47:23.9548571Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2024-08-20T21:47:23.9551487Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/beta.py::Beta:0, line 20 <- wrt source file 2024-08-20T21:47:23.9554245Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/beta.py::Beta:0 2024-08-20T21:47:23.9557165Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/binomial.py::Binomial:0, line 28 <- wrt source file 2024-08-20T21:47:23.9560140Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/binomial.py::Binomial:0 2024-08-20T21:47:23.9563253Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/categorical.py::Categorical:0, line 40 <- wrt source file 2024-08-20T21:47:23.9566420Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/categorical.py::Categorical:0 2024-08-20T21:47:23.9569523Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2024-08-20T21:47:23.9572694Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/cauchy.py::Cauchy:0 2024-08-20T21:47:23.9575553Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/chi2.py::Chi2:0, line 15 <- wrt source file 2024-08-20T21:47:23.9578323Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/chi2.py::Chi2:0 2024-08-20T21:47:23.9581339Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/constraints.py::is_dependent:0, line 160 <- wrt source file 2024-08-20T21:47:23.9584494Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/constraints.py::is_dependent:0 2024-08-20T21:47:23.9587782Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 181 <- wrt source file 2024-08-20T21:47:23.9591116Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2024-08-20T21:47:23.9594591Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 34 <- wrt source file 2024-08-20T21:47:23.9598141Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2024-08-20T21:47:23.9601614Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 39 <- wrt source file 2024-08-20T21:47:23.9604720Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2024-08-20T21:47:23.9607914Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/exponential.py::Exponential:0, line 19 <- wrt source file 2024-08-20T21:47:23.9611059Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/exponential.py::Exponential:0 2024-08-20T21:47:23.9614341Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2024-08-20T21:47:23.9617667Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2024-08-20T21:47:23.9620754Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/gamma.py::Gamma:0, line 23 <- wrt source file 2024-08-20T21:47:23.9623572Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/gamma.py::Gamma:0 2024-08-20T21:47:23.9626553Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/geometric.py::Geometric:0, line 34 <- wrt source file 2024-08-20T21:47:23.9629581Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/geometric.py::Geometric:0 2024-08-20T21:47:23.9632566Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 21 <- wrt source file 2024-08-20T21:47:23.9635485Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/gumbel.py::Gumbel:0 2024-08-20T21:47:23.9638693Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 23 <- wrt source file 2024-08-20T21:47:23.9641964Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2024-08-20T21:47:23.9645152Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 23 <- wrt source file 2024-08-20T21:47:23.9648515Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2024-08-20T21:47:23.9651876Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/independent.py::Independent:0, line 23 <- wrt source file 2024-08-20T21:47:23.9655221Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/independent.py::Independent:0 2024-08-20T21:47:23.9658621Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 21 <- wrt source file 2024-08-20T21:47:23.9662023Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2024-08-20T21:47:23.9665469Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 28 <- wrt source file 2024-08-20T21:47:23.9668774Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2024-08-20T21:47:23.9671825Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/laplace.py::Laplace:0, line 19 <- wrt source file 2024-08-20T21:47:23.9674893Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/laplace.py::Laplace:0 2024-08-20T21:47:23.9678129Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 41 <- wrt source file 2024-08-20T21:47:23.9681384Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2024-08-20T21:47:23.9684498Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 20 <- wrt source file 2024-08-20T21:47:23.9687573Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/log_normal.py::LogNormal:0 2024-08-20T21:47:23.9690781Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 25 <- wrt source file 2024-08-20T21:47:23.9694064Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2024-08-20T21:47:23.9697666Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 61 <- wrt source file 2024-08-20T21:47:23.9701534Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2024-08-20T21:47:23.9705208Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 22 <- wrt source file 2024-08-20T21:47:23.9708681Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2024-08-20T21:47:23.9712014Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 36 <- wrt source file 2024-08-20T21:47:23.9715154Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/multinomial.py::Multinomial:0 2024-08-20T21:47:23.9718559Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 101 <- wrt source file 2024-08-20T21:47:23.9722098Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2024-08-20T21:47:23.9725294Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/normal.py::Normal:0, line 21 <- wrt source file 2024-08-20T21:47:23.9728196Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/normal.py::Normal:0 2024-08-20T21:47:23.9731391Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 31 <- wrt source file 2024-08-20T21:47:23.9734835Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2024-08-20T21:47:23.9738024Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/pareto.py::Pareto:0, line 17 <- wrt source file 2024-08-20T21:47:23.9740884Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/pareto.py::Pareto:0 2024-08-20T21:47:23.9743815Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/poisson.py::Poisson:0, line 23 <- wrt source file 2024-08-20T21:47:23.9746717Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/poisson.py::Poisson:0 2024-08-20T21:47:23.9749918Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 118 <- wrt source file 2024-08-20T21:47:23.9753394Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2024-08-20T21:47:23.9757046Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 106 <- wrt source file 2024-08-20T21:47:23.9760702Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2024-08-20T21:47:23.9764028Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/studentT.py::StudentT:0, line 21 <- wrt source file 2024-08-20T21:47:23.9767063Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/studentT.py::StudentT:0 2024-08-20T21:47:23.9770193Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1033 <- wrt source file 2024-08-20T21:47:23.9773528Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/transforms.py::CatTransform:0 2024-08-20T21:47:23.9776756Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1139 <- wrt source file 2024-08-20T21:47:23.9779972Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/transforms.py::StackTransform:0 2024-08-20T21:47:23.9783445Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1213 <- wrt source file 2024-08-20T21:47:23.9787113Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2024-08-20T21:47:23.9790432Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2024-08-20T21:47:23.9793417Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/uniform.py::Uniform:0 2024-08-20T21:47:23.9796414Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/utils.py::clamp_probs:0, line 107 <- wrt source file 2024-08-20T21:47:23.9799370Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/utils.py::clamp_probs:0 2024-08-20T21:47:23.9802391Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/von_mises.py::VonMises:0, line 115 <- wrt source file 2024-08-20T21:47:23.9805372Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/von_mises.py::VonMises:0 2024-08-20T21:47:23.9808413Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/weibull.py::Weibull:0, line 19 <- wrt source file 2024-08-20T21:47:23.9811326Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/weibull.py::Weibull:0 2024-08-20T21:47:23.9814274Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/wishart.py::Wishart:0, line 40 <- wrt source file 2024-08-20T21:47:23.9817194Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributions/wishart.py::Wishart:0 2024-08-20T21:47:23.9820269Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 720 <- wrt source file 2024-08-20T21:47:23.9823410Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0 2024-08-20T21:47:23.9826317Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/graph.py::_snake_case:0, line 84 <- wrt source file 2024-08-20T21:47:23.9829114Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/graph.py::_snake_case:0 2024-08-20T21:47:23.9832093Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1603 <- wrt source file 2024-08-20T21:47:23.9835118Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0 2024-08-20T21:47:23.9838125Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1677 <- wrt source file 2024-08-20T21:47:23.9841053Z * SKIPPED: 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/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2024-08-20T21:47:24.1337987Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2181 <- wrt source file 2024-08-20T21:47:24.1350697Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::gumbel_softmax:0 2024-08-20T21:47:24.1353970Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::embedding:0, line 2487 <- wrt source file 2024-08-20T21:47:24.1375696Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::embedding:0 2024-08-20T21:47:24.1378585Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::embedding_bag:0, line 2627 <- wrt source file 2024-08-20T21:47:24.1392957Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::embedding_bag:0 2024-08-20T21:47:24.1395803Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::ctc_loss:0, line 3049 <- wrt source file 2024-08-20T21:47:24.1425451Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::ctc_loss:0 2024-08-20T21:47:24.1428260Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::nll_loss:0, line 3126 <- wrt source file 2024-08-20T21:47:24.1460833Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::nll_loss:0 2024-08-20T21:47:24.1463687Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::cross_entropy:0, line 3451 <- wrt source file 2024-08-20T21:47:24.1476304Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::cross_entropy:0 2024-08-20T21:47:24.1479319Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3523 <- wrt source file 2024-08-20T21:47:24.1498474Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2024-08-20T21:47:24.1501775Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3600 <- wrt source file 2024-08-20T21:47:24.1508682Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2024-08-20T21:47:24.1511689Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::pad:0, line 5065 <- wrt source file 2024-08-20T21:47:24.1526037Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py::pad:0 2024-08-20T21:47:24.1528925Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2024-08-20T21:47:24.1575393Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv1d_input:0 2024-08-20T21:47:24.1578116Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2024-08-20T21:47:24.1584051Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv1d_weight:0 2024-08-20T21:47:24.1586785Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2024-08-20T21:47:24.1616457Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv2d_input:0 2024-08-20T21:47:24.1619181Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2024-08-20T21:47:24.1625243Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv2d_weight:0 2024-08-20T21:47:24.1627973Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2024-08-20T21:47:24.1682798Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv3d_input:0 2024-08-20T21:47:24.1685925Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2024-08-20T21:47:24.1712864Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/grad.py::conv3d_weight:0 2024-08-20T21:47:24.1716247Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::calculate_gain:0, line 102 <- wrt source file 2024-08-20T21:47:24.1718994Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::calculate_gain:0 2024-08-20T21:47:24.1721686Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::uniform_:0, line 159 <- wrt source file 2024-08-20T21:47:24.1724252Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::uniform_:0 2024-08-20T21:47:24.1726930Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::normal_:0, line 186 <- wrt source file 2024-08-20T21:47:24.1729490Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::normal_:0 2024-08-20T21:47:24.1732169Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::trunc_normal_:0, line 221 <- wrt source file 2024-08-20T21:47:24.1750108Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::trunc_normal_:0 2024-08-20T21:47:24.1752805Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::constant_:0, line 235 <- wrt source file 2024-08-20T21:47:24.1755772Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::constant_:0 2024-08-20T21:47:24.1758373Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::ones_:0, line 252 <- wrt source file 2024-08-20T21:47:24.1761859Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::ones_:0 2024-08-20T21:47:24.1764433Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::zeros_:0, line 265 <- wrt source file 2024-08-20T21:47:24.1767272Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::zeros_:0 2024-08-20T21:47:24.1769951Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::eye_:0, line 281 <- wrt source file 2024-08-20T21:47:24.1772438Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::eye_:0 2024-08-20T21:47:24.1775152Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::dirac_:0, line 303 <- wrt source file 2024-08-20T21:47:24.1779765Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::dirac_:0 2024-08-20T21:47:24.1782458Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::xavier_uniform_:0, line 389 <- wrt source file 2024-08-20T21:47:24.1785444Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::xavier_uniform_:0 2024-08-20T21:47:24.1788238Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::xavier_normal_:0, line 429 <- wrt source file 2024-08-20T21:47:24.1790957Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::xavier_normal_:0 2024-08-20T21:47:24.1793726Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 488 <- wrt source file 2024-08-20T21:47:24.1796475Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::kaiming_uniform_:0 2024-08-20T21:47:24.1799260Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::kaiming_normal_:0, line 553 <- wrt source file 2024-08-20T21:47:24.1801983Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::kaiming_normal_:0 2024-08-20T21:47:24.1804725Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::orthogonal_:0, line 592 <- wrt source file 2024-08-20T21:47:24.1807431Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::orthogonal_:0 2024-08-20T21:47:24.1810094Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::sparse_:0, line 645 <- wrt source file 2024-08-20T21:47:24.1812656Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/init.py::sparse_:0 2024-08-20T21:47:24.1815465Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 81 <- wrt source file 2024-08-20T21:47:24.1818410Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2024-08-20T21:47:24.1821402Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2024-08-20T21:47:24.1824287Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/attention/bias.py::CausalBias:0 2024-08-20T21:47:24.1827264Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Threshold:0, line 70 <- wrt source file 2024-08-20T21:47:24.1830223Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Threshold:0 2024-08-20T21:47:24.1833186Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::ReLU:0, line 112 <- wrt source file 2024-08-20T21:47:24.1836053Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::ReLU:0 2024-08-20T21:47:24.1838980Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::RReLU:0, line 171 <- wrt source file 2024-08-20T21:47:24.1842007Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::RReLU:0 2024-08-20T21:47:24.1845105Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 227 <- wrt source file 2024-08-20T21:47:24.1848155Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2024-08-20T21:47:24.1851117Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 292 <- wrt source file 2024-08-20T21:47:24.1853996Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::ReLU6:0 2024-08-20T21:47:24.1856935Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 320 <- wrt source file 2024-08-20T21:47:24.1859858Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2024-08-20T21:47:24.1862892Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 352 <- wrt source file 2024-08-20T21:47:24.1865942Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2024-08-20T21:47:24.1868931Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Tanh:0, line 385 <- wrt source file 2024-08-20T21:47:24.1871793Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Tanh:0 2024-08-20T21:47:24.1874879Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::SiLU:0, line 418 <- wrt source file 2024-08-20T21:47:24.1877740Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::SiLU:0 2024-08-20T21:47:24.1880638Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Mish:0, line 457 <- wrt source file 2024-08-20T21:47:24.1885025Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Mish:0 2024-08-20T21:47:24.1888047Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 502 <- wrt source file 2024-08-20T21:47:24.1892405Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardswish:0 2024-08-20T21:47:24.1895357Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::ELU:0, line 545 <- wrt source file 2024-08-20T21:47:24.1899678Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::ELU:0 2024-08-20T21:47:24.1902582Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::CELU:0, line 587 <- wrt source file 2024-08-20T21:47:24.1907153Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::CELU:0 2024-08-20T21:47:24.1910062Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::SELU:0, line 640 <- wrt source file 2024-08-20T21:47:24.1913646Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::SELU:0 2024-08-20T21:47:24.1916534Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::GLU:0, line 678 <- wrt source file 2024-08-20T21:47:24.1921544Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::GLU:0 2024-08-20T21:47:24.1924589Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::GELU:0, line 720 <- wrt source file 2024-08-20T21:47:24.1931681Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::GELU:0 2024-08-20T21:47:24.1934683Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 763 <- wrt source file 2024-08-20T21:47:24.1938930Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2024-08-20T21:47:24.1941980Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 812 <- wrt source file 2024-08-20T21:47:24.1945216Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2024-08-20T21:47:24.1948250Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 848 <- wrt source file 2024-08-20T21:47:24.1951549Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2024-08-20T21:47:24.1954574Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softplus:0, line 881 <- wrt source file 2024-08-20T21:47:24.1958431Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softplus:0 2024-08-20T21:47:24.1961460Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 924 <- wrt source file 2024-08-20T21:47:24.1965710Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softshrink:0 2024-08-20T21:47:24.1968972Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1026 <- wrt source file 2024-08-20T21:47:24.1972247Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2024-08-20T21:47:24.1975502Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1489 <- wrt source file 2024-08-20T21:47:24.1978397Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::PReLU:0 2024-08-20T21:47:24.1981366Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1531 <- wrt source file 2024-08-20T21:47:24.1984328Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softsign:0 2024-08-20T21:47:24.1987358Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1554 <- wrt source file 2024-08-20T21:47:24.1990385Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2024-08-20T21:47:24.1993417Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1589 <- wrt source file 2024-08-20T21:47:24.1996335Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softmin:0 2024-08-20T21:47:24.1999290Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1647 <- wrt source file 2024-08-20T21:47:24.2002214Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softmax:0 2024-08-20T21:47:24.2005207Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1688 <- wrt source file 2024-08-20T21:47:24.2009359Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2024-08-20T21:47:24.2013099Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1724 <- wrt source file 2024-08-20T21:47:24.2016313Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2024-08-20T21:47:24.2019377Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file 2024-08-20T21:47:24.2049223Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2024-08-20T21:47:24.2052295Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file 2024-08-20T21:47:24.2430101Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2024-08-20T21:47:24.2433237Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file 2024-08-20T21:47:24.5887567Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2024-08-20T21:47:24.6041333Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 676 <- wrt source file 2024-08-20T21:47:24.6046420Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2024-08-20T21:47:24.6049919Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 838 <- wrt source file 2024-08-20T21:47:24.6053577Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2024-08-20T21:47:24.6057108Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2024-08-20T21:47:24.6074968Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2024-08-20T21:47:24.6078119Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::Sequential:0, line 86 <- wrt source file 2024-08-20T21:47:24.6081099Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::Sequential:0 2024-08-20T21:47:24.6084151Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ModuleList:0, line 292 <- wrt source file 2024-08-20T21:47:24.6087198Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ModuleList:0 2024-08-20T21:47:24.6090219Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 474 <- wrt source file 2024-08-20T21:47:24.6093198Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ModuleDict:0 2024-08-20T21:47:24.6096265Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ParameterList:0, line 606 <- wrt source file 2024-08-20T21:47:24.6099340Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ParameterList:0 2024-08-20T21:47:24.6102433Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 758 <- wrt source file 2024-08-20T21:47:24.6105807Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/container.py::ParameterDict:0 2024-08-20T21:47:24.6109070Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2024-08-20T21:47:24.6112356Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2024-08-20T21:47:24.6115502Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 77 <- wrt source file 2024-08-20T21:47:24.6118602Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2024-08-20T21:47:24.6121611Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2024-08-20T21:47:24.6124452Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout:0 2024-08-20T21:47:24.6127430Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file 2024-08-20T21:47:24.6130318Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2024-08-20T21:47:24.6133252Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file 2024-08-20T21:47:24.6164048Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2024-08-20T21:47:24.6167566Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file 2024-08-20T21:47:24.6295076Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2024-08-20T21:47:24.6298488Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file 2024-08-20T21:47:24.6302228Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2024-08-20T21:47:24.6305358Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file 2024-08-20T21:47:24.6434070Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2024-08-20T21:47:24.6437557Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2024-08-20T21:47:24.6444728Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/flatten.py::Flatten:0 2024-08-20T21:47:24.6447727Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 81 <- wrt source file 2024-08-20T21:47:24.6472091Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2024-08-20T21:47:24.6475078Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/fold.py::Fold:0, line 111 <- wrt source file 2024-08-20T21:47:24.6481776Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/fold.py::Fold:0 2024-08-20T21:47:24.6484551Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/fold.py::Unfold:0, line 261 <- wrt source file 2024-08-20T21:47:24.6537241Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/fold.py::Unfold:0 2024-08-20T21:47:24.6540663Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2024-08-20T21:47:24.6557343Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2024-08-20T21:47:24.6560592Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2024-08-20T21:47:24.6869705Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2024-08-20T21:47:24.6873108Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2024-08-20T21:47:25.0270085Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2024-08-20T21:47:25.0424619Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 87 <- wrt source file 2024-08-20T21:47:25.0432229Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2024-08-20T21:47:25.0435265Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2024-08-20T21:47:25.0442885Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py::Identity:0 2024-08-20T21:47:25.0445778Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file 2024-08-20T21:47:25.0454899Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py::Linear:0 2024-08-20T21:47:25.0457839Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file 2024-08-20T21:47:25.0491945Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py::Bilinear:0 2024-08-20T21:47:25.0494824Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2024-08-20T21:47:25.0503709Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::L1Loss:0 2024-08-20T21:47:25.0506523Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 211 <- wrt source file 2024-08-20T21:47:25.0542904Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2024-08-20T21:47:25.0546084Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 321 <- wrt source file 2024-08-20T21:47:25.0554428Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2024-08-20T21:47:25.0557474Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 406 <- wrt source file 2024-08-20T21:47:25.0577804Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2024-08-20T21:47:25.0580831Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 517 <- wrt source file 2024-08-20T21:47:25.0592821Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2024-08-20T21:47:25.0596209Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 595 <- wrt source file 2024-08-20T21:47:25.0602817Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MSELoss:0 2024-08-20T21:47:25.0606004Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 677 <- wrt source file 2024-08-20T21:47:25.0613679Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::BCELoss:0 2024-08-20T21:47:25.0616696Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 748 <- wrt source file 2024-08-20T21:47:25.0631621Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2024-08-20T21:47:25.0634817Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 941 <- wrt source file 2024-08-20T21:47:25.0644533Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2024-08-20T21:47:25.0647797Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1261 <- wrt source file 2024-08-20T21:47:25.0659249Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2024-08-20T21:47:25.0662394Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1401 <- wrt source file 2024-08-20T21:47:25.0675981Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2024-08-20T21:47:25.0679134Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1466 <- wrt source file 2024-08-20T21:47:25.0687659Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2024-08-20T21:47:25.0690832Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1545 <- wrt source file 2024-08-20T21:47:25.0699851Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2024-08-20T21:47:25.0702932Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1645 <- wrt source file 2024-08-20T21:47:25.0717451Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2024-08-20T21:47:25.0720908Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1756 <- wrt source file 2024-08-20T21:47:25.0751697Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2024-08-20T21:47:25.0754899Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1886 <- wrt source file 2024-08-20T21:47:25.0807235Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2024-08-20T21:47:25.0810352Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 545 <- wrt source file 2024-08-20T21:47:25.0813618Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2024-08-20T21:47:25.0816800Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1005 <- wrt source file 2024-08-20T21:47:25.0829829Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.apply:0 2024-08-20T21:47:25.0833136Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.to:0, line 1259 <- wrt source file 2024-08-20T21:47:25.0843694Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.to:0 2024-08-20T21:47:25.0846875Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2167 <- wrt source file 2024-08-20T21:47:25.0855019Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2024-08-20T21:47:25.0860549Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2609 <- wrt source file 2024-08-20T21:47:25.0863741Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.parameters:0 2024-08-20T21:47:25.0869640Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2637 <- wrt source file 2024-08-20T21:47:25.0873183Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2024-08-20T21:47:25.0876417Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2664 <- wrt source file 2024-08-20T21:47:25.0879474Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.buffers:0 2024-08-20T21:47:25.0882634Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2691 <- wrt source file 2024-08-20T21:47:25.0885830Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2024-08-20T21:47:25.0889197Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2722 <- wrt source file 2024-08-20T21:47:25.0892432Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_children:0 2024-08-20T21:47:25.0895628Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2746 <- wrt source file 2024-08-20T21:47:25.0898710Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.modules:0 2024-08-20T21:47:25.0901714Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2784 <- wrt source file 2024-08-20T21:47:25.0904757Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2024-08-20T21:47:25.0908071Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2024-08-20T21:47:25.0928992Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2024-08-20T21:47:25.0932335Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file 2024-08-20T21:47:25.0942962Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2024-08-20T21:47:25.0946155Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file 2024-08-20T21:47:25.0956306Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2024-08-20T21:47:25.0959809Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file 2024-08-20T21:47:25.0964896Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2024-08-20T21:47:25.0967777Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 69 <- wrt source file 2024-08-20T21:47:25.0974512Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2024-08-20T21:47:25.0977623Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 120 <- wrt source file 2024-08-20T21:47:25.1004367Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2024-08-20T21:47:25.1007576Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 184 <- wrt source file 2024-08-20T21:47:25.8669152Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2024-08-20T21:47:25.8864709Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 238 <- wrt source file 2024-08-20T21:47:25.8876600Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2024-08-20T21:47:25.8878324Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 291 <- wrt source file 2024-08-20T21:47:25.8886963Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2024-08-20T21:47:25.8888820Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 347 <- wrt source file 2024-08-20T21:47:25.8914874Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2024-08-20T21:47:25.8916594Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 391 <- wrt source file 2024-08-20T21:47:25.8922932Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2024-08-20T21:47:25.8924664Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 435 <- wrt source file 2024-08-20T21:47:25.8930358Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2024-08-20T21:47:25.8932085Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 492 <- wrt source file 2024-08-20T21:47:25.8935758Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2024-08-20T21:47:25.8937746Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 550 <- wrt source file 2024-08-20T21:47:25.8943106Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2024-08-20T21:47:25.8944839Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 593 <- wrt source file 2024-08-20T21:47:25.8951027Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2024-08-20T21:47:25.8953091Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 650 <- wrt source file 2024-08-20T21:47:26.4247879Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2024-08-20T21:47:26.4442260Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 684 <- wrt source file 2024-08-20T21:47:26.4454617Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2024-08-20T21:47:26.4457596Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 739 <- wrt source file 2024-08-20T21:47:26.4462861Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2024-08-20T21:47:26.4465867Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 798 <- wrt source file 2024-08-20T21:47:26.4490266Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2024-08-20T21:47:26.4493338Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2024-08-20T21:47:26.4498198Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2024-08-20T21:47:26.4501436Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file 2024-08-20T21:47:26.4506912Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2024-08-20T21:47:26.4510086Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 118 <- wrt source file 2024-08-20T21:47:26.4514440Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2024-08-20T21:47:26.4517401Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 195 <- wrt source file 2024-08-20T21:47:26.4570055Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2024-08-20T21:47:26.4573187Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 278 <- wrt source file 2024-08-20T21:47:26.6841419Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2024-08-20T21:47:26.6871057Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 352 <- wrt source file 2024-08-20T21:47:26.6884889Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2024-08-20T21:47:26.6888018Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 437 <- wrt source file 2024-08-20T21:47:26.6908904Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2024-08-20T21:47:26.6911925Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 534 <- wrt source file 2024-08-20T21:47:26.7647561Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2024-08-20T21:47:26.7650630Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 622 <- wrt source file 2024-08-20T21:47:26.7659897Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2024-08-20T21:47:26.7663178Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 714 <- wrt source file 2024-08-20T21:47:26.7702854Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2024-08-20T21:47:26.7728503Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 827 <- wrt source file 2024-08-20T21:47:26.9425764Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2024-08-20T21:47:26.9455824Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 917 <- wrt source file 2024-08-20T21:47:26.9508356Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2024-08-20T21:47:26.9511614Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1003 <- wrt source file 2024-08-20T21:47:27.0279979Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2024-08-20T21:47:27.0283108Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1117 <- wrt source file 2024-08-20T21:47:27.0290574Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2024-08-20T21:47:27.0294074Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1168 <- wrt source file 2024-08-20T21:47:27.0347013Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2024-08-20T21:47:27.0350614Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1227 <- wrt source file 2024-08-20T21:47:27.2569718Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2024-08-20T21:47:27.2633989Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1282 <- wrt source file 2024-08-20T21:47:27.2643329Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2024-08-20T21:47:27.2646576Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1316 <- wrt source file 2024-08-20T21:47:27.2657254Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2024-08-20T21:47:27.2660470Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1359 <- wrt source file 2024-08-20T21:47:27.2693781Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2024-08-20T21:47:27.2696984Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1406 <- wrt source file 2024-08-20T21:47:27.2701627Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2024-08-20T21:47:27.2705397Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1437 <- wrt source file 2024-08-20T21:47:27.2716547Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2024-08-20T21:47:27.2720793Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1476 <- wrt source file 2024-08-20T21:47:27.2746810Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2024-08-20T21:47:27.2749836Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::RNN:0, line 589 <- wrt source file 2024-08-20T21:47:27.2762747Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::RNN:0 2024-08-20T21:47:27.2765513Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 946 <- wrt source file 2024-08-20T21:47:27.3084803Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::LSTM:0 2024-08-20T21:47:27.3088524Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1284 <- wrt source file 2024-08-20T21:47:27.3106116Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::GRU:0 2024-08-20T21:47:27.3109714Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1535 <- wrt source file 2024-08-20T21:47:27.3121027Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2024-08-20T21:47:27.3123882Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1657 <- wrt source file 2024-08-20T21:47:27.3134775Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2024-08-20T21:47:27.3137723Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1771 <- wrt source file 2024-08-20T21:47:27.3149600Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2024-08-20T21:47:27.3152463Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 69 <- wrt source file 2024-08-20T21:47:27.3167234Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::Embedding:0 2024-08-20T21:47:27.3170373Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 241 <- wrt source file 2024-08-20T21:47:27.3174608Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2024-08-20T21:47:27.3177772Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 320 <- wrt source file 2024-08-20T21:47:27.3193049Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2024-08-20T21:47:27.3196258Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 519 <- wrt source file 2024-08-20T21:47:27.3201517Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2024-08-20T21:47:27.3204812Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2024-08-20T21:47:28.0577886Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::Transformer:0 2024-08-20T21:47:28.0594718Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 258 <- wrt source file 2024-08-20T21:47:28.0599366Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2024-08-20T21:47:28.0602741Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 323 <- wrt source file 2024-08-20T21:47:28.1219318Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2024-08-20T21:47:28.1225156Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 536 <- wrt source file 2024-08-20T21:47:28.2469913Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2024-08-20T21:47:28.2478886Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 657 <- wrt source file 2024-08-20T21:47:28.2700625Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2024-08-20T21:47:28.2704136Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 961 <- wrt source file 2024-08-20T21:47:28.3071347Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2024-08-20T21:47:28.3074851Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2024-08-20T21:47:28.3112036Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2024-08-20T21:47:28.3115250Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file 2024-08-20T21:47:28.3127095Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2024-08-20T21:47:28.3130459Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file 2024-08-20T21:47:28.3137358Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2024-08-20T21:47:28.3140634Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 126 <- wrt source file 2024-08-20T21:47:28.3144145Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2024-08-20T21:47:28.3147508Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 619 <- wrt source file 2024-08-20T21:47:28.3150956Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2024-08-20T21:47:28.3154649Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1418 <- wrt source file 2024-08-20T21:47:28.3158309Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2024-08-20T21:47:28.3161957Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1815 <- wrt source file 2024-08-20T21:47:28.3165943Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2024-08-20T21:47:28.3169990Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1981 <- wrt source file 2024-08-20T21:47:28.3174068Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2024-08-20T21:47:28.3178033Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 1991 <- wrt source file 2024-08-20T21:47:28.3181948Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2024-08-20T21:47:28.3185990Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2026 <- wrt source file 2024-08-20T21:47:28.3190064Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2024-08-20T21:47:28.3205411Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2084 <- wrt source file 2024-08-20T21:47:28.3209670Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2024-08-20T21:47:28.3213351Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2024-08-20T21:47:28.3216758Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2024-08-20T21:47:28.3219894Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2024-08-20T21:47:28.3222625Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/init.py::skip_init:0 2024-08-20T21:47:28.3225826Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 56 <- wrt source file 2024-08-20T21:47:28.3229387Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2024-08-20T21:47:28.3232976Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 130 <- wrt source file 2024-08-20T21:47:28.3236529Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2024-08-20T21:47:28.3240258Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2024-08-20T21:47:28.3243401Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2024-08-20T21:47:28.3246610Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2024-08-20T21:47:28.3249809Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2024-08-20T21:47:28.3253055Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2024-08-20T21:47:28.3256537Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2024-08-20T21:47:28.3260008Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0, line 506 <- wrt source file 2024-08-20T21:47:28.3263341Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0 2024-08-20T21:47:28.3266445Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::identity:0, line 845 <- wrt source file 2024-08-20T21:47:28.3269215Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::identity:0 2024-08-20T21:47:28.3272158Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 881 <- wrt source file 2024-08-20T21:47:28.3275378Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2024-08-20T21:47:28.3278418Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 924 <- wrt source file 2024-08-20T21:47:28.3281338Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2024-08-20T21:47:28.3284302Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::random_structured:0, line 964 <- wrt source file 2024-08-20T21:47:28.3287300Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::random_structured:0 2024-08-20T21:47:28.3290286Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1012 <- wrt source file 2024-08-20T21:47:28.3293173Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::ln_structured:0 2024-08-20T21:47:28.3296162Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1065 <- wrt source file 2024-08-20T21:47:28.3299210Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2024-08-20T21:47:28.3302250Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1163 <- wrt source file 2024-08-20T21:47:28.3305201Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2024-08-20T21:47:28.3308091Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::remove:0, line 1191 <- wrt source file 2024-08-20T21:47:28.3310799Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::remove:0 2024-08-20T21:47:28.3313613Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1219 <- wrt source file 2024-08-20T21:47:28.3316384Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/prune.py::is_pruned:0 2024-08-20T21:47:28.3319278Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 357 <- wrt source file 2024-08-20T21:47:28.3322231Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2024-08-20T21:47:28.3325153Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 435 <- wrt source file 2024-08-20T21:47:28.3327987Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2024-08-20T21:47:28.3330978Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 493 <- wrt source file 2024-08-20T21:47:28.3333913Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2024-08-20T21:47:28.3337001Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 549 <- wrt source file 2024-08-20T21:47:28.3339835Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2024-08-20T21:47:28.3342699Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 577 <- wrt source file 2024-08-20T21:47:28.3345555Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2024-08-20T21:47:28.3348594Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 313 <- wrt source file 2024-08-20T21:47:28.3351663Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2024-08-20T21:47:28.3354848Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 345 <- wrt source file 2024-08-20T21:47:28.3358123Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2024-08-20T21:47:28.3361289Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 214 <- wrt source file 2024-08-20T21:47:28.3364336Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/stateless.py::functional_call:0 2024-08-20T21:47:28.3367418Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 133 <- wrt source file 2024-08-20T21:47:28.3370400Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2024-08-20T21:47:28.3373639Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 155 <- wrt source file 2024-08-20T21:47:28.3376792Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2024-08-20T21:47:28.3380043Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 317 <- wrt source file 2024-08-20T21:47:28.3383339Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2024-08-20T21:47:28.3387091Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2024-08-20T21:47:28.3391141Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2024-08-20T21:47:28.3394623Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 308 <- wrt source file 2024-08-20T21:47:28.3397461Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2024-08-20T21:47:28.3400466Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 410 <- wrt source file 2024-08-20T21:47:28.3403713Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2024-08-20T21:47:28.3406823Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 510 <- wrt source file 2024-08-20T21:47:28.3409616Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2024-08-20T21:47:28.3412530Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 570 <- wrt source file 2024-08-20T21:47:28.3415446Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2024-08-20T21:47:28.3418411Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 635 <- wrt source file 2024-08-20T21:47:28.3421284Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2024-08-20T21:47:28.3424163Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 713 <- wrt source file 2024-08-20T21:47:28.3427006Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2024-08-20T21:47:28.3429954Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 842 <- wrt source file 2024-08-20T21:47:28.3432893Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2024-08-20T21:47:28.3435899Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 979 <- wrt source file 2024-08-20T21:47:28.3439029Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2024-08-20T21:47:28.3442111Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1135 <- wrt source file 2024-08-20T21:47:28.3445153Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2024-08-20T21:47:28.3448314Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 1278 <- wrt source file 2024-08-20T21:47:28.3451431Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0 2024-08-20T21:47:28.3454445Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1510 <- wrt source file 2024-08-20T21:47:28.3457268Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2024-08-20T21:47:28.3460494Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1780 <- wrt source file 2024-08-20T21:47:28.3463992Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2024-08-20T21:47:28.3467548Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1796 <- wrt source file 2024-08-20T21:47:28.3471033Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2024-08-20T21:47:28.3474407Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1941 <- wrt source file 2024-08-20T21:47:28.3477312Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2024-08-20T21:47:28.3480405Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 138 <- wrt source file 2024-08-20T21:47:28.3483387Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2024-08-20T21:47:28.3486330Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 164 <- wrt source file 2024-08-20T21:47:28.3489265Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2024-08-20T21:47:28.3492156Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::update_bn:0, line 319 <- wrt source file 2024-08-20T21:47:28.3494935Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::update_bn:0 2024-08-20T21:47:28.3497737Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::SWALR:0, line 378 <- wrt source file 2024-08-20T21:47:28.3500445Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/optim/swa_utils.py::SWALR:0 2024-08-20T21:47:28.3503289Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/package/glob_group.py::GlobGroup:0, line 21 <- wrt source file 2024-08-20T21:47:28.3506133Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/package/glob_group.py::GlobGroup:0 2024-08-20T21:47:28.3509027Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/profiler/profiler.py::profile:0, line 534 <- wrt source file 2024-08-20T21:47:28.3511856Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/profiler/profiler.py::profile:0 2024-08-20T21:47:28.3514966Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 337 <- wrt source file 2024-08-20T21:47:28.3518306Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2024-08-20T21:47:28.3521504Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py::assert_close:0, line 1409 <- wrt source file 2024-08-20T21:47:28.3524496Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py::assert_close:0 2024-08-20T21:47:28.3527488Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_creation.py::make_tensor:0, line 113 <- wrt source file 2024-08-20T21:47:28.3530356Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_creation.py::make_tensor:0 2024-08-20T21:47:28.3533467Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 591 <- wrt source file 2024-08-20T21:47:28.3536685Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2024-08-20T21:47:28.3540096Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 746 <- wrt source file 2024-08-20T21:47:28.3543260Z * SKIPPED: 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source file 2024-08-20T21:47:28.3564582Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0 2024-08-20T21:47:28.3568046Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 192 <- wrt source file 2024-08-20T21:47:28.3571304Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2024-08-20T21:47:28.3575130Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 288 <- wrt source file 2024-08-20T21:47:28.3579038Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2024-08-20T21:47:28.3583019Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2024-08-20T21:47:28.3586949Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2024-08-20T21:47:28.3590482Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 133 <- wrt source file 2024-08-20T21:47:28.3593564Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2024-08-20T21:47:28.3596597Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 257 <- wrt source file 2024-08-20T21:47:28.3599510Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2024-08-20T21:47:28.3602453Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 299 <- wrt source file 2024-08-20T21:47:28.3605393Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2024-08-20T21:47:28.3608396Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 329 <- wrt source file 2024-08-20T21:47:28.3611218Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2024-08-20T21:47:28.3614085Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 364 <- wrt source file 2024-08-20T21:47:28.3616935Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2024-08-20T21:47:28.3619868Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 399 <- wrt source file 2024-08-20T21:47:28.3622805Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2024-08-20T21:47:28.3625684Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 436 <- wrt source file 2024-08-20T21:47:28.3628624Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2024-08-20T21:47:28.3631662Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 812 <- wrt source file 2024-08-20T21:47:28.3634637Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2024-08-20T21:47:28.3637715Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py::tree_map:0, line 933 <- wrt source file 2024-08-20T21:47:28.3640438Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py::tree_map:0 2024-08-20T21:47:28.3643584Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2024-08-20T21:47:28.3647087Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2024-08-20T21:47:28.3650765Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 322 <- wrt source file 2024-08-20T21:47:28.3654555Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2024-08-20T21:47:28.3658145Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 354 <- wrt source file 2024-08-20T21:47:28.3661474Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2024-08-20T21:47:28.3664740Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 548 <- wrt source file 2024-08-20T21:47:28.3667883Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2024-08-20T21:47:28.3671117Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 750 <- wrt source file 2024-08-20T21:47:28.3674470Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2024-08-20T21:47:28.3677784Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1209 <- wrt source file 2024-08-20T21:47:28.3681106Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2024-08-20T21:47:28.3684567Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1359 <- wrt source file 2024-08-20T21:47:28.3688098Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2024-08-20T21:47:28.3691349Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 936 <- wrt source file 2024-08-20T21:47:28.3694333Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2024-08-20T21:47:28.3697368Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 989 <- wrt source file 2024-08-20T21:47:28.3700363Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2024-08-20T21:47:28.3703563Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1067 <- wrt source file 2024-08-20T21:47:28.3706667Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2024-08-20T21:47:28.3709596Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::load:0, line 1306 <- wrt source file 2024-08-20T21:47:28.3712363Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::load:0 2024-08-20T21:47:28.3715273Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 1577 <- wrt source file 2024-08-20T21:47:28.3718209Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/cpp_extension.py::load_inline:0 2024-08-20T21:47:28.3721088Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 72 <- wrt source file 2024-08-20T21:47:28.3723866Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/dlpack.py::from_dlpack:0 2024-08-20T21:47:28.3727029Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 77 <- wrt source file 2024-08-20T21:47:28.3730407Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2024-08-20T21:47:28.3733657Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 98 <- wrt source file 2024-08-20T21:47:28.3736710Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2024-08-20T21:47:28.3739975Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 223 <- wrt source file 2024-08-20T21:47:28.3742973Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/dataset.py::StackDataset:0 2024-08-20T21:47:28.3745973Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/dataset.py::random_split:0, line 445 <- wrt source file 2024-08-20T21:47:28.3748939Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/dataset.py::random_split:0 2024-08-20T21:47:28.3752091Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 54 <- wrt source file 2024-08-20T21:47:28.3755391Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2024-08-20T21:47:28.3758502Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/sampler.py::Sampler:0, line 42 <- wrt source file 2024-08-20T21:47:28.3761327Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/sampler.py::Sampler:0 2024-08-20T21:47:28.3764415Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 240 <- wrt source file 2024-08-20T21:47:28.3767690Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2024-08-20T21:47:28.3770842Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 303 <- wrt source file 2024-08-20T21:47:28.3773946Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2024-08-20T21:47:28.3777191Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2024-08-20T21:47:28.3780471Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2024-08-20T21:47:28.3783590Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2024-08-20T21:47:28.3786565Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py::collate:0 2024-08-20T21:47:28.3789689Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2024-08-20T21:47:28.3792867Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2024-08-20T21:47:28.3796170Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 96 <- wrt source file 2024-08-20T21:47:28.3799488Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2024-08-20T21:47:28.3802843Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 263 <- wrt source file 2024-08-20T21:47:28.3806143Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2024-08-20T21:47:28.3809692Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 51 <- wrt source file 2024-08-20T21:47:28.3813337Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2024-08-20T21:47:28.3817072Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 197 <- wrt source file 2024-08-20T21:47:28.3820780Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2024-08-20T21:47:28.3824618Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 87 <- wrt source file 2024-08-20T21:47:28.3828423Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2024-08-20T21:47:28.3832248Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 48 <- wrt source file 2024-08-20T21:47:28.3835960Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2024-08-20T21:47:28.3839900Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 98 <- wrt source file 2024-08-20T21:47:28.3843558Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2024-08-20T21:47:28.3847238Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 317 <- wrt source file 2024-08-20T21:47:28.3850796Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2024-08-20T21:47:28.3854548Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 403 <- wrt source file 2024-08-20T21:47:28.3858571Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2024-08-20T21:47:28.3862466Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 613 <- wrt source file 2024-08-20T21:47:28.3866275Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2024-08-20T21:47:28.3870065Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 681 <- wrt source file 2024-08-20T21:47:28.3873888Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2024-08-20T21:47:28.3877690Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file 2024-08-20T21:47:28.3881511Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2024-08-20T21:47:28.3885360Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 34 <- wrt source file 2024-08-20T21:47:28.3889203Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2024-08-20T21:47:28.3892984Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 62 <- wrt source file 2024-08-20T21:47:28.3896656Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2024-08-20T21:47:28.3900394Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 122 <- wrt source file 2024-08-20T21:47:28.3904120Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2024-08-20T21:47:28.3907851Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 189 <- wrt source file 2024-08-20T21:47:28.3911514Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2024-08-20T21:47:28.3915216Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 36 <- wrt source file 2024-08-20T21:47:28.3919079Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2024-08-20T21:47:28.3922905Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2024-08-20T21:47:28.3926894Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2024-08-20T21:47:28.3930782Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 26 <- wrt source file 2024-08-20T21:47:28.3934587Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2024-08-20T21:47:28.3938630Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2024-08-20T21:47:28.3942367Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2024-08-20T21:47:28.3946148Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 33 <- wrt source file 2024-08-20T21:47:28.3949979Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2024-08-20T21:47:28.3953761Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 28 <- wrt source file 2024-08-20T21:47:28.3957438Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2024-08-20T21:47:28.3961134Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 72 <- wrt source file 2024-08-20T21:47:28.3964748Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2024-08-20T21:47:28.3968468Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 28 <- wrt source file 2024-08-20T21:47:28.3972065Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2024-08-20T21:47:28.3975913Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 26 <- wrt source file 2024-08-20T21:47:28.3979658Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2024-08-20T21:47:28.3983355Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 36 <- wrt source file 2024-08-20T21:47:28.3986907Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2024-08-20T21:47:28.3990489Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2024-08-20T21:47:28.3993972Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2024-08-20T21:47:28.3997382Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 433 <- wrt source file 2024-08-20T21:47:28.4000670Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2024-08-20T21:47:28.4004051Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 529 <- wrt source file 2024-08-20T21:47:28.4007451Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2024-08-20T21:47:28.4010890Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2024-08-20T21:47:28.4014241Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2024-08-20T21:47:28.4017861Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2024-08-20T21:47:28.4021417Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2024-08-20T21:47:28.4024915Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2024-08-20T21:47:28.4028351Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2024-08-20T21:47:28.4031857Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2024-08-20T21:47:28.4035332Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2024-08-20T21:47:28.4039036Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2024-08-20T21:47:28.4042478Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2024-08-20T21:47:28.4046018Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2024-08-20T21:47:28.4049509Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2024-08-20T21:47:28.4053068Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2024-08-20T21:47:28.4056626Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2024-08-20T21:47:28.4060190Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2024-08-20T21:47:28.4063613Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2024-08-20T21:47:28.4067089Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file 2024-08-20T21:47:28.4070527Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2024-08-20T21:47:28.4074140Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file 2024-08-20T21:47:28.4077568Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2024-08-20T21:47:28.4081076Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file 2024-08-20T21:47:28.4084595Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2024-08-20T21:47:28.4088178Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2024-08-20T21:47:28.4091688Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2024-08-20T21:47:28.4095620Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2024-08-20T21:47:28.4099683Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2024-08-20T21:47:28.4103640Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2024-08-20T21:47:28.4107553Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2024-08-20T21:47:28.4111381Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2024-08-20T21:47:28.4115037Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2024-08-20T21:47:28.4118605Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2024-08-20T21:47:28.4122019Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2024-08-20T21:47:28.4123794Z ============ 2024-08-20T21:47:28.4124357Z Finished doctests 2024-08-20T21:47:28.4124854Z 362 / 794 passed 2024-08-20T21:47:28.4125350Z  2024-08-20T21:47:28.4125950Z === Found 4 parse-time warnings === 2024-08-20T21:47:28.4126904Z --- Parse Warning: 1 / 4 --- 2024-08-20T21:47:28.4129860Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py line=334. 2024-08-20T21:47:28.4132938Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:28.4134384Z Registers the function implementation as the fallback for the given key. 2024-08-20T21:47:28.4135413Z 2024-08-20T21:47:28.4136169Z This function only works for a library with global namespace ("_"). 2024-08-20T21:47:28.4137329Z 2024-08-20T21:47:28.4137734Z Args: 2024-08-20T21:47:28.4138737Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2024-08-20T21:47:28.4139995Z to register a fallthrough. 2024-08-20T21:47:28.4141335Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2024-08-20T21:47:28.4142834Z the dispatch key that the library was created with. 2024-08-20T21:47:28.4144428Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2024-08-20T21:47:28.4146493Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2024-08-20T21:47:28.4147801Z 2024-08-20T21:47:28.4148225Z Example:: 2024-08-20T21:47:28.4148795Z >>> my_lib = Library("_", "IMPL") 2024-08-20T21:47:28.4149655Z >>> def fallback_kernel(op, *args, **kwargs): 2024-08-20T21:47:28.4150582Z >>> # Handle all autocast ops generically 2024-08-20T21:47:28.4151360Z >>> # ... 2024-08-20T21:47:28.4152091Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:47:28.4152898Z 2024-08-20T21:47:28.4154535Z Original Error: IndentationError('expected an indented block', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n')) 2024-08-20T21:47:28.4156238Z 2024-08-20T21:47:28.4156768Z my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:47:28.4157492Z ^ 2024-08-20T21:47:28.4157939Z warnings.warn(msg) 2024-08-20T21:47:28.4158469Z 2024-08-20T21:47:28.4159115Z --- Parse Warning: 2 / 4 --- 2024-08-20T21:47:28.4162017Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py line=692. 2024-08-20T21:47:28.4165035Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:28.4166435Z Register a FakeTensor implementation ("fake impl") for this operator. 2024-08-20T21:47:28.4167480Z 2024-08-20T21:47:28.4168132Z Also sometimes known as a "meta kernel", "abstract impl". 2024-08-20T21:47:28.4168998Z 2024-08-20T21:47:28.4169793Z An "FakeTensor implementation" specifies the behavior of this operator on 2024-08-20T21:47:28.4171240Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2024-08-20T21:47:28.4172820Z certain properties (sizes/strides/storage_offset/device), it specifies 2024-08-20T21:47:28.4174002Z what the properties of the output Tensors are. 2024-08-20T21:47:28.4174784Z 2024-08-20T21:47:28.4175558Z The FakeTensor implementation has the same signature as the operator. 2024-08-20T21:47:28.4176926Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2024-08-20T21:47:28.4178277Z implementation, assume that all Tensor inputs to the operator are 2024-08-20T21:47:28.4179569Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-08-20T21:47:28.4180848Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-08-20T21:47:28.4182197Z The FakeTensor implementation must consist of only PyTorch operations 2024-08-20T21:47:28.4183519Z (and may not directly access the storage or data of any input or 2024-08-20T21:47:28.4184497Z intermediate Tensors). 2024-08-20T21:47:28.4185077Z 2024-08-20T21:47:28.4185663Z This API may be used as a decorator (see examples). 2024-08-20T21:47:28.4186462Z 2024-08-20T21:47:28.4187029Z For a detailed guide on custom ops, please see 2024-08-20T21:47:28.4188186Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2024-08-20T21:47:28.4189175Z 2024-08-20T21:47:28.4189582Z Examples: 2024-08-20T21:47:28.4190082Z >>> import torch 2024-08-20T21:47:28.4190671Z >>> import numpy as np 2024-08-20T21:47:28.4191352Z >>> from torch import Tensor 2024-08-20T21:47:28.4192018Z >>> 2024-08-20T21:47:28.4192898Z >>> # Example 1: an operator without data-dependent output shape 2024-08-20T21:47:28.4194154Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2024-08-20T21:47:28.4195638Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2024-08-20T21:47:28.4196887Z >>> raise NotImplementedError("Implementation goes here") 2024-08-20T21:47:28.4197765Z >>> 2024-08-20T21:47:28.4198455Z >>> @torch.library.register_fake("mylib::custom_linear") 2024-08-20T21:47:28.4199360Z >>> def _(x, weight, bias): 2024-08-20T21:47:28.4200062Z >>> assert x.dim() == 2 2024-08-20T21:47:28.4200803Z >>> assert weight.dim() == 2 2024-08-20T21:47:28.4201566Z >>> assert bias.dim() == 1 2024-08-20T21:47:28.4202360Z >>> assert x.shape[1] == weight.shape[1] 2024-08-20T21:47:28.4203257Z >>> assert weight.shape[0] == bias.shape[0] 2024-08-20T21:47:28.4204130Z >>> assert x.device == weight.device 2024-08-20T21:47:28.4204854Z >>> 2024-08-20T21:47:28.4205403Z >>> return (x @ weight.t()) + bias 2024-08-20T21:47:28.4206298Z >>> 2024-08-20T21:47:28.4207039Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2024-08-20T21:47:28.4207967Z >>> x = torch.randn(2, 3) 2024-08-20T21:47:28.4208694Z >>> w = torch.randn(3, 3) 2024-08-20T21:47:28.4209517Z >>> b = torch.randn(3) 2024-08-20T21:47:28.4210326Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2024-08-20T21:47:28.4211121Z >>> 2024-08-20T21:47:28.4211625Z >>> assert y.shape == (2, 3) 2024-08-20T21:47:28.4212293Z >>> 2024-08-20T21:47:28.4213137Z >>> # Example 2: an operator with data-dependent output shape 2024-08-20T21:47:28.4214362Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2024-08-20T21:47:28.4215598Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2024-08-20T21:47:28.4216439Z >>> x_np = x.numpy(force=True) 2024-08-20T21:47:28.4217283Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-08-20T21:47:28.4218192Z >>> return torch.tensor(res, device=x.device) 2024-08-20T21:47:28.4218971Z >>> 2024-08-20T21:47:28.4219663Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2024-08-20T21:47:28.4220533Z >>> def _(x): 2024-08-20T21:47:28.4221365Z >>> # Number of nonzero-elements is data-dependent. 2024-08-20T21:47:28.4222383Z >>> # Since we cannot peek at the data in an fake impl, 2024-08-20T21:47:28.4223431Z >>> # we use the ctx object to construct a new symint that 2024-08-20T21:47:28.4224511Z >>> # represents the data-dependent size. 2024-08-20T21:47:28.4225370Z >>> ctx = torch.library.get_ctx() 2024-08-20T21:47:28.4226169Z >>> nnz = ctx.new_dynamic_size() 2024-08-20T21:47:28.4226943Z >>> shape = [nnz, x.dim()] 2024-08-20T21:47:28.4227797Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-08-20T21:47:28.4228640Z >>> return result 2024-08-20T21:47:28.4229243Z >>> 2024-08-20T21:47:28.4229959Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-08-20T21:47:28.4230846Z >>> 2024-08-20T21:47:28.4231409Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2024-08-20T21:47:28.4232567Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2024-08-20T21:47:28.4233685Z >>> trace.print_readable() 2024-08-20T21:47:28.4234344Z >>> 2024-08-20T21:47:28.4235158Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2024-08-20T21:47:28.4236140Z 2024-08-20T21:47:28.4236537Z 2024-08-20T21:47:28.4238067Z Original Error: IndentationError('expected an indented block', ('', 38, 1, '_._ = None\n')) 2024-08-20T21:47:28.4239367Z 2024-08-20T21:47:28.4239777Z _._ = None 2024-08-20T21:47:28.4240220Z ^ 2024-08-20T21:47:28.4240652Z warnings.warn(msg) 2024-08-20T21:47:28.4241179Z 2024-08-20T21:47:28.4241764Z --- Parse Warning: 3 / 4 --- 2024-08-20T21:47:28.4244637Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/cuda/__init__.py line=341. 2024-08-20T21:47:28.4247730Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:28.4248872Z Retrieves the CUDA runtime API module. 2024-08-20T21:47:28.4249578Z 2024-08-20T21:47:28.4249961Z 2024-08-20T21:47:28.4250776Z This function initializes the CUDA runtime environment if it is not already 2024-08-20T21:47:28.4252217Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2024-08-20T21:47:28.4253590Z runtime API module provides access to various CUDA runtime functions. 2024-08-20T21:47:28.4254584Z 2024-08-20T21:47:28.4255099Z Args: 2024-08-20T21:47:28.4255535Z ``None`` 2024-08-20T21:47:28.4256012Z 2024-08-20T21:47:28.4256411Z Returns: 2024-08-20T21:47:28.4257022Z module: The CUDA runtime API module (_cudart). 2024-08-20T21:47:28.4257812Z 2024-08-20T21:47:28.4258282Z Raises: 2024-08-20T21:47:28.4259243Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2024-08-20T21:47:28.4260980Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2024-08-20T21:47:28.4262325Z 2024-08-20T21:47:28.4262845Z Example of CUDA operations with profiling: 2024-08-20T21:47:28.4263634Z >>> import torch 2024-08-20T21:47:28.4264339Z >>> from torch.cuda import cudart, check_error 2024-08-20T21:47:28.4265121Z >>> import os 2024-08-20T21:47:28.4265655Z >>> 2024-08-20T21:47:28.4266295Z >>> os.environ['CUDA_PROFILE'] = '1' 2024-08-20T21:47:28.4267005Z >>> 2024-08-20T21:47:28.4267609Z >>> def perform_cuda_operations_with_streams(): 2024-08-20T21:47:28.4268490Z >>> stream = torch.cuda.Stream() 2024-08-20T21:47:28.4269295Z >>> with torch.cuda.stream(stream): 2024-08-20T21:47:28.4270292Z >>> x = torch.randn(100, 100, device='cuda') 2024-08-20T21:47:28.4271311Z >>> y = torch.randn(100, 100, device='cuda') 2024-08-20T21:47:28.4272114Z >>> z = torch.mul(x, y) 2024-08-20T21:47:28.4272986Z >>> return z 2024-08-20T21:47:28.4273540Z >>> 2024-08-20T21:47:28.4274056Z >>> torch.cuda.synchronize() 2024-08-20T21:47:28.4274883Z >>> print("====== Start nsys profiling ======") 2024-08-20T21:47:28.4275805Z >>> check_error(cudart().cudaProfilerStart()) 2024-08-20T21:47:28.4276735Z >>> with torch.autograd.profiler.emit_nvtx(): 2024-08-20T21:47:28.4277708Z >>> result = perform_cuda_operations_with_streams() 2024-08-20T21:47:28.4278664Z >>> print("CUDA operations completed.") 2024-08-20T21:47:28.4279622Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2024-08-20T21:47:28.4280612Z >>> print("====== End nsys profiling ======") 2024-08-20T21:47:28.4281367Z 2024-08-20T21:47:28.4282077Z To run this example and save the profiling information, execute: 2024-08-20T21:47:28.4283884Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:47:28.4285194Z 2024-08-20T21:47:28.4286020Z This command profiles the CUDA operations in the provided script and saves 2024-08-20T21:47:28.4287395Z the profiling information to a file named `trace_name.prof`. 2024-08-20T21:47:28.4288837Z The `--profile-from-start off` option ensures that profiling starts only 2024-08-20T21:47:28.4290056Z after the `cudaProfilerStart` call in the script. 2024-08-20T21:47:28.4291377Z The `--csv` and `--print-summary` options format the profiling output as a 2024-08-20T21:47:28.4292524Z CSV file and print a summary, respectively. 2024-08-20T21:47:28.4293873Z The `-o` option specifies the output file name, and the `-f` option forces the 2024-08-20T21:47:28.4295118Z overwrite of the output file if it already exists. 2024-08-20T21:47:28.4295934Z 2024-08-20T21:47:28.4297962Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n')) 2024-08-20T21:47:28.4299900Z 2024-08-20T21:47:28.4301126Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:47:28.4302405Z ^ 2024-08-20T21:47:28.4302839Z warnings.warn(msg) 2024-08-20T21:47:28.4303357Z 2024-08-20T21:47:28.4303944Z --- Parse Warning: 4 / 4 --- 2024-08-20T21:47:28.4307332Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/distributed/device_mesh.py line=473. 2024-08-20T21:47:28.4310815Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:47:28.4311842Z 2024-08-20T21:47:28.4312739Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2024-08-20T21:47:28.4314355Z The submesh created consists of the dimensions and the communicators indicated by 2024-08-20T21:47:28.4315491Z ``mesh_dim_names`` 2024-08-20T21:47:28.4315996Z 2024-08-20T21:47:28.4316397Z Args: 2024-08-20T21:47:28.4317209Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2024-08-20T21:47:28.4318541Z mesh dimension of the DeviceMesh to create the submesh for. 2024-08-20T21:47:28.4319456Z Returns: 2024-08-20T21:47:28.4319943Z A :class:`DeviceMesh` object 2024-08-20T21:47:28.4320578Z 2024-08-20T21:47:28.4321512Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2024-08-20T21:47:28.4322707Z In the first example: 2024-08-20T21:47:28.4323763Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2024-08-20T21:47:28.4325382Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2024-08-20T21:47:28.4326972Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2024-08-20T21:47:28.4328459Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2024-08-20T21:47:28.4329940Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2024-08-20T21:47:28.4331419Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2024-08-20T21:47:28.4332454Z 2024-08-20T21:47:28.4332892Z In the second example: 2024-08-20T21:47:28.4334017Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2024-08-20T21:47:28.4335770Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2024-08-20T21:47:28.4337712Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2024-08-20T21:47:28.4339469Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2024-08-20T21:47:28.4340640Z 2024-08-20T21:47:28.4341063Z Example:: 2024-08-20T21:47:28.4341585Z >>> # xdoctest: +SKIP("no rank") 2024-08-20T21:47:28.4342480Z >>> from torch.distributed.device_mesh import DeviceMesh 2024-08-20T21:47:28.4343337Z >>> 2024-08-20T21:47:28.4344071Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2024-08-20T21:47:28.4345321Z >>> # of cross-host(dim 0), and within-host (dim 1). 2024-08-20T21:47:28.4346561Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:47:28.4347684Z >>> tp_mesh = mesh_2d["tp"] 2024-08-20T21:47:28.4348355Z >>> dp_mesh = mesh_2d["dp"] 2024-08-20T21:47:28.4348983Z >>> 2024-08-20T21:47:28.4349458Z >>> # Initialize a 3D mesh. 2024-08-20T21:47:28.4350579Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2024-08-20T21:47:28.4352312Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2024-08-20T21:47:28.4353621Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2024-08-20T21:47:28.4354403Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2024-08-20T21:47:28.4355075Z 2024-08-20T21:47:28.4356385Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 48, None)) 2024-08-20T21:47:28.4357853Z 2024-08-20T21:47:28.4358659Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:47:28.4359797Z ^ 2024-08-20T21:47:28.4360597Z warnings.warn(msg) 2024-08-20T21:47:28.4361113Z 2024-08-20T21:47:28.4361546Z  2024-08-20T21:47:28.4362146Z === Found 9 run-time warnings === 2024-08-20T21:47:28.4363036Z --- Runtime Warning: 1 / 9 --- 2024-08-20T21:47:28.4364193Z example = 2024-08-20T21:47:28.4368984Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_tensor.py:1250: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1931.) 2024-08-20T21:47:28.4373012Z return super().refine_names(names) 2024-08-20T21:47:28.4373676Z 2024-08-20T21:47:28.4374275Z --- Runtime Warning: 2 / 9 --- 2024-08-20T21:47:28.4375552Z example = 2024-08-20T21:47:28.4378369Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/library.py:250: UserWarning: Warning only once for all operators, other operators may also be overridden. 2024-08-20T21:47:28.4380937Z Overriding a previously registered kernel for the same operator and the same dispatch key 2024-08-20T21:47:28.4382570Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2024-08-20T21:47:28.4384026Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2024-08-20T21:47:28.4385238Z dispatch key: CPU 2024-08-20T21:47:28.4386647Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2024-08-20T21:47:28.4389356Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:162.) 2024-08-20T21:47:28.4391469Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2024-08-20T21:47:28.4392276Z 2024-08-20T21:47:28.4392876Z --- Runtime Warning: 3 / 9 --- 2024-08-20T21:47:28.4393962Z example = 2024-08-20T21:47:28.4397906Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nested/__init__.py:106: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:180.) 2024-08-20T21:47:28.4401445Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2024-08-20T21:47:28.4402471Z 2024-08-20T21:47:28.4403061Z --- Runtime Warning: 4 / 9 --- 2024-08-20T21:47:28.4404208Z example = 2024-08-20T21:47:28.4409895Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.) 2024-08-20T21:47:28.4414268Z 2024-08-20T21:47:28.4414852Z --- Runtime Warning: 5 / 9 --- 2024-08-20T21:47:28.4416115Z example = 2024-08-20T21:47:28.4421349Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/const_fold.py:252: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2024-08-20T21:47:28.4425852Z new_node = root_const_gm.graph.get_attr(in_node.target) 2024-08-20T21:47:28.4426669Z 2024-08-20T21:47:28.4427361Z --- Runtime Warning: 6 / 9 --- 2024-08-20T21:47:28.4428607Z example = 2024-08-20T21:47:28.4432645Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py:379: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2024-08-20T21:47:28.4435771Z warnings.warn( 2024-08-20T21:47:28.4436269Z 2024-08-20T21:47:28.4437051Z --- Runtime Warning: 7 / 9 --- 2024-08-20T21:47:28.4438391Z example = 2024-08-20T21:47:28.4442554Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/transformer.py:379: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2024-08-20T21:47:28.4445665Z warnings.warn( 2024-08-20T21:47:28.4446143Z 2024-08-20T21:47:28.4446771Z --- Runtime Warning: 8 / 9 --- 2024-08-20T21:47:28.4447982Z example = 2024-08-20T21:47:28.4451235Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2024-08-20T21:47:28.4453758Z WeightNorm.apply(module, name, dim) 2024-08-20T21:47:28.4454451Z 2024-08-20T21:47:28.4455036Z --- Runtime Warning: 9 / 9 --- 2024-08-20T21:47:28.4456319Z example = 2024-08-20T21:47:28.4459660Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2024-08-20T21:47:28.4462180Z WeightNorm.apply(module, name, dim) 2024-08-20T21:47:28.4462858Z 2024-08-20T21:47:28.4463744Z === 362 passed, 432 skipped, 13 warnings in 17.32 seconds === 2024-08-20T21:47:28.4465278Z Running inductor/test_distributed_patterns 1/1 ... [2024-08-20 21:47:28.390487] 2024-08-20T21:47:28.4466387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:28.4469584Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:28.390944] 2024-08-20T21:47:37.3468726Z 2024-08-20T21:47:37.3471040Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_84a1ed182913a351_.log 2024-08-20T21:47:37.3473079Z 2024-08-20T21:47:37.3476825Z Running test_nn 1/1 ... [2024-08-20 21:47:37.347323] 2024-08-20T21:47:37.3477732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:37.3484720Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:37.347942] 2024-08-20T21:50:18.3448279Z 2024-08-20T21:50:18.3489487Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_3b21e1fefa91b5ad_.log 2024-08-20T21:50:18.5153070Z Running 2172 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2024-08-20T21:50:18.6590056Z 2024-08-20T21:50:18.6590598Z Running dynamo/test_trace_rules 1/1 ... [2024-08-20 21:50:18.349910] 2024-08-20T21:50:18.6591195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:18.6592976Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:18.351135] 2024-08-20T21:50:21.1193554Z 2024-08-20T21:50:21.1195108Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_08ca9ac98fbebb07_.log 2024-08-20T21:50:21.1196098Z 2024-08-20T21:50:21.1199991Z Running dynamo/test_misc 1/1 ... [2024-08-20 21:50:21.119804] 2024-08-20T21:50:21.1200591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:21.1206412Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:21.120290] 2024-08-20T21:50:25.7306330Z 2024-08-20T21:50:25.7308006Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_9ad2ffe856336dab_.log 2024-08-20T21:50:25.7308928Z 2024-08-20T21:50:25.7312390Z Running dynamo/test_functions 1/1 ... [2024-08-20 21:50:25.731012] 2024-08-20T21:50:25.7312950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:25.7317860Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:25.731487] 2024-08-20T21:50:28.2162929Z 2024-08-20T21:50:28.2166238Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_fa53c7685b7586a5_.log 2024-08-20T21:50:28.2168542Z 2024-08-20T21:50:28.2173510Z Running dynamo/test_higher_order_ops 1/1 ... [2024-08-20 21:50:28.216990] 2024-08-20T21:50:28.2174959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:28.2183242Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:28.217721] 2024-08-20T21:50:30.9153388Z 2024-08-20T21:50:30.9163771Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_e11e12dc435a6776_.log 2024-08-20T21:50:30.9172908Z 2024-08-20T21:50:30.9196253Z Running inductor/test_torchinductor 1/1 ... [2024-08-20 21:50:30.919150] 2024-08-20T21:50:30.9203770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:30.9224355Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:30.921698] 2024-08-20T21:50:37.8827323Z 2024-08-20T21:50:37.8829748Z inductor/test_torchinductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.1_6fbd265dc2ef0090_.log 2024-08-20T21:50:37.8831622Z 2024-08-20T21:50:37.8837684Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2024-08-20 21:50:37.883375] 2024-08-20T21:50:37.8838946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:37.8845650Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:37.884096] 2024-08-20T21:50:44.7463021Z 2024-08-20T21:50:44.7465752Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_1305ab1dd15861f3_.log 2024-08-20T21:50:44.7467939Z 2024-08-20T21:50:44.7478596Z Running dynamo/test_export 1/1 ... [2024-08-20 21:50:44.746934] 2024-08-20T21:50:44.7479459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:44.7482000Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:44.747531] 2024-08-20T21:50:47.5186616Z 2024-08-20T21:50:47.5188265Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_1cb665aaf02c7869_.log 2024-08-20T21:50:47.5189172Z 2024-08-20T21:50:47.5192967Z Running inductor/test_compiled_optimizers 1/1 ... [2024-08-20 21:50:47.519098] 2024-08-20T21:50:47.5193602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:47.5198532Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:47.519568] 2024-08-20T21:50:54.9345268Z 2024-08-20T21:50:54.9347320Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_d166bc154fef639f_.log 2024-08-20T21:50:54.9348405Z 2024-08-20T21:50:54.9353909Z Running dynamo/test_interop 1/1 ... [2024-08-20 21:50:54.935053] 2024-08-20T21:50:54.9354692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:54.9361356Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:54.935684] 2024-08-20T21:50:57.3145191Z 2024-08-20T21:50:57.3146916Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_13aafe2c1b642499_.log 2024-08-20T21:50:57.3147859Z 2024-08-20T21:50:57.3150942Z Running dynamo/test_exc 1/1 ... [2024-08-20 21:50:57.314915] 2024-08-20T21:50:57.3151641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:57.3156335Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:57.315370] 2024-08-20T21:50:59.9325568Z 2024-08-20T21:50:59.9327296Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_c29c9cbc4e45faa1_.log 2024-08-20T21:50:59.9328168Z 2024-08-20T21:50:59.9331928Z Running dynamo/test_unspec 1/1 ... [2024-08-20 21:50:59.932986] 2024-08-20T21:50:59.9332537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:59.9336983Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:59.933420] 2024-08-20T21:51:02.3392698Z 2024-08-20T21:51:02.3394394Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_1847ad538cf9aeff_.log 2024-08-20T21:51:02.3395316Z 2024-08-20T21:51:02.3398422Z Running dynamo/test_ctx_manager 1/1 ... [2024-08-20 21:51:02.339639] 2024-08-20T21:51:02.3399007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:02.3403854Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:02.340086] 2024-08-20T21:51:04.9821395Z 2024-08-20T21:51:04.9823106Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_10cd08617b68e924_.log 2024-08-20T21:51:04.9824078Z 2024-08-20T21:51:04.9827495Z Running inductor/test_pattern_matcher 1/1 ... [2024-08-20 21:51:04.982531] 2024-08-20T21:51:04.9828102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:04.9832805Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:04.982978] 2024-08-20T21:51:08.6294815Z 2024-08-20T21:51:08.6296631Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_ca469d7718737bb6_.log 2024-08-20T21:51:08.6297689Z 2024-08-20T21:51:08.6299432Z Running dynamo/test_activation_checkpointing 1/1 ... [2024-08-20 21:51:08.629719] 2024-08-20T21:51:08.6300080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:08.6305230Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:08.630183] 2024-08-20T21:51:11.4348412Z 2024-08-20T21:51:11.4358200Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_a5bd6f354ccc23b0_.log 2024-08-20T21:51:11.4366635Z 2024-08-20T21:51:11.4387305Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2024-08-20 21:51:11.438230] 2024-08-20T21:51:11.4394866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:11.4414463Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:11.440675] 2024-08-20T21:51:17.9673428Z 2024-08-20T21:51:17.9675162Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_606b9d548345409c_.log 2024-08-20T21:51:17.9676324Z 2024-08-20T21:51:17.9683831Z Running inductor/test_fused_attention 1/1 ... [2024-08-20 21:51:17.967771] 2024-08-20T21:51:17.9684853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:17.9694697Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:17.968942] 2024-08-20T21:51:24.1526948Z 2024-08-20T21:51:24.1529254Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_a4c8c99fc9ac0abd_.log 2024-08-20T21:51:24.1531008Z 2024-08-20T21:51:24.1536012Z Running inductor/test_foreach 1/1 ... [2024-08-20 21:51:24.153215] 2024-08-20T21:51:24.1537018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:24.1543035Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:24.153844] 2024-08-20T21:51:30.9107720Z 2024-08-20T21:51:30.9109465Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_5ee8c82a2bfc70bd_.log 2024-08-20T21:51:30.9110436Z 2024-08-20T21:51:30.9119582Z Running inductor/test_split_cat_fx_passes 1/1 ... [2024-08-20 21:51:30.911323] 2024-08-20T21:51:30.9120495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:30.9127019Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:30.911948] 2024-08-20T21:51:34.3481887Z 2024-08-20T21:51:34.3483758Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_bbce8c062c5a2987_.log 2024-08-20T21:51:34.3484811Z 2024-08-20T21:51:34.3487004Z Running inductor/test_cpu_repro 1/1 ... [2024-08-20 21:51:34.348478] 2024-08-20T21:51:34.3487575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:34.3493398Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:34.348979] 2024-08-20T21:51:41.1648658Z 2024-08-20T21:51:41.1650440Z inductor/test_cpu_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.1_ea1ffe1921a2c35f_.log 2024-08-20T21:51:41.1651477Z 2024-08-20T21:51:41.1658653Z Running inductor/test_cuda_repro 1/1 ... [2024-08-20 21:51:41.165460] 2024-08-20T21:51:41.1659540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:41.1667021Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:41.166092] 2024-08-20T21:51:47.8473100Z 2024-08-20T21:51:47.8475288Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_a454f7e27297eb85_.log 2024-08-20T21:51:47.8477288Z 2024-08-20T21:51:47.8482575Z Running dynamo/test_aot_autograd 1/1 ... [2024-08-20 21:51:47.847855] 2024-08-20T21:51:47.8484032Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:47.8490762Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:47.848423] 2024-08-20T21:51:50.2945226Z 2024-08-20T21:51:50.2946717Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_63dedd1670c31e7b_.log 2024-08-20T21:51:50.2947705Z 2024-08-20T21:51:50.2951326Z Running dynamo/test_backends 1/1 ... [2024-08-20 21:51:50.294924] 2024-08-20T21:51:50.2951917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:50.2956866Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:50.295403] 2024-08-20T21:51:52.8218538Z 2024-08-20T21:51:52.8227131Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_35bef3bf8970db62_.log 2024-08-20T21:51:52.8234699Z 2024-08-20T21:51:52.8254326Z Running dynamo/test_comptime 1/1 ... [2024-08-20 21:51:52.824823] 2024-08-20T21:51:52.8260847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:52.8278508Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:52.827008] 2024-08-20T21:51:55.2455006Z 2024-08-20T21:51:55.2456730Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_b22e61ccdcdd3731_.log 2024-08-20T21:51:55.2457678Z 2024-08-20T21:51:55.2460841Z Running dynamo/test_minifier 1/1 ... [2024-08-20 21:51:55.245895] 2024-08-20T21:51:55.2461400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:55.2466635Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:55.246384] 2024-08-20T21:51:57.5764251Z 2024-08-20T21:51:57.5765988Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_4e71819f6c3b28ee_.log 2024-08-20T21:51:57.5767023Z 2024-08-20T21:51:57.5771079Z Running inductor/test_extension_backend 1/1 ... [2024-08-20 21:51:57.576868] 2024-08-20T21:51:57.5771750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:51:57.5777324Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:51:57.577377] 2024-08-20T21:52:04.2198586Z 2024-08-20T21:52:04.2200445Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_9cbbe8698d6766d9_.log 2024-08-20T21:52:04.2202103Z 2024-08-20T21:52:04.2204420Z Running dynamo/test_config 1/1 ... [2024-08-20 21:52:04.220073] 2024-08-20T21:52:04.2205342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:04.2212186Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:04.220649] 2024-08-20T21:52:06.5888514Z 2024-08-20T21:52:06.5890704Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_d904de0d4a398c6f_.log 2024-08-20T21:52:06.5892379Z 2024-08-20T21:52:06.5896727Z Running inductor/test_minifier 1/1 ... [2024-08-20 21:52:06.589434] 2024-08-20T21:52:06.5897787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:06.5904049Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:06.589981] 2024-08-20T21:52:09.0313067Z 2024-08-20T21:52:09.0321499Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_a9ee3ff344c68cd9_.log 2024-08-20T21:52:09.0329038Z 2024-08-20T21:52:09.0352530Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2024-08-20 21:52:09.034595] 2024-08-20T21:52:09.0359960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:09.0380491Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:09.037118] 2024-08-20T21:52:11.5529704Z 2024-08-20T21:52:11.5532194Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_bd716d11dafe736f_.log 2024-08-20T21:52:11.5534121Z 2024-08-20T21:52:11.5535441Z Running inductor/test_binary_folding 1/1 ... [2024-08-20 21:52:11.553326] 2024-08-20T21:52:11.5536481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:11.5540942Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:11.553768] 2024-08-20T21:52:18.4168105Z 2024-08-20T21:52:18.4170338Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_1d484990bfeef739_.log 2024-08-20T21:52:18.4171375Z 2024-08-20T21:52:18.4177786Z Running inductor/test_select_algorithm 1/1 ... [2024-08-20 21:52:18.417294] 2024-08-20T21:52:18.4178764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:18.4185054Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:18.417911] 2024-08-20T21:52:21.8091989Z 2024-08-20T21:52:21.8093954Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_2e71819ea8c034de_.log 2024-08-20T21:52:21.8095044Z 2024-08-20T21:52:21.8099146Z Running dynamo/test_verify_correctness 1/1 ... [2024-08-20 21:52:21.809691] 2024-08-20T21:52:21.8099764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:21.8105071Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:21.810163] 2024-08-20T21:52:24.1837966Z 2024-08-20T21:52:24.1839555Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_7fc397a205df45ce_.log 2024-08-20T21:52:24.1840601Z 2024-08-20T21:52:24.1844540Z Running dynamo/test_nops 1/1 ... [2024-08-20 21:52:24.184234] 2024-08-20T21:52:24.1845093Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:24.1850138Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:24.184717] 2024-08-20T21:52:26.7276839Z 2024-08-20T21:52:26.7278295Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_f1deb24020ca6c28_.log 2024-08-20T21:52:26.7279174Z 2024-08-20T21:52:26.7283265Z Running inductor/test_triton_heuristics 1/1 ... [2024-08-20 21:52:26.728102] 2024-08-20T21:52:26.7283921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:26.7288370Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:26.728546] 2024-08-20T21:52:29.1823420Z 2024-08-20T21:52:29.1825089Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_9bd74532c996a551_.log 2024-08-20T21:52:29.1826144Z 2024-08-20T21:52:29.1829768Z Running inductor/test_minifier_isolate 1/1 ... [2024-08-20 21:52:29.182781] 2024-08-20T21:52:29.1830406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:29.1835130Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:29.183225] 2024-08-20T21:52:31.7473378Z 2024-08-20T21:52:31.7482713Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_c93444609bdb7bf4_.log 2024-08-20T21:52:31.7491414Z 2024-08-20T21:52:31.7511812Z Running inductor/test_custom_lowering 1/1 ... [2024-08-20 21:52:31.750696] 2024-08-20T21:52:31.7519216Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:31.7538096Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:31.753055] 2024-08-20T21:52:38.1047430Z 2024-08-20T21:52:38.1049212Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_ca7e27b171f28125_.log 2024-08-20T21:52:38.1050396Z 2024-08-20T21:52:38.1055862Z Running export/test_unflatten 1/1 ... [2024-08-20 21:52:38.105203] 2024-08-20T21:52:38.1056796Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:38.1062902Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:38.105823] 2024-08-20T21:52:40.7598060Z 2024-08-20T21:52:40.7600572Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_b110559c21c147c1_.log 2024-08-20T21:52:40.7602563Z Running 0 items in this shard: 2024-08-20T21:52:40.7603031Z 2024-08-20T21:52:40.7607322Z Running export/test_serdes 1/1 ... [2024-08-20 21:52:40.760484] 2024-08-20T21:52:40.7608523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:40.7615025Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'export/test_serdes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:40.761055] 2024-08-20T21:52:44.7320801Z 2024-08-20T21:52:44.7322230Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_bc6eb9acd2981376_.log 2024-08-20T21:52:44.7323139Z 2024-08-20T21:52:44.7327472Z Running test_autograd 1/1 ... [2024-08-20 21:52:44.732516] 2024-08-20T21:52:44.7328139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:44.7333316Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:44.733004] 2024-08-20T21:52:49.0846092Z 2024-08-20T21:52:49.0847543Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_cd754a86d32d8a9a_.log 2024-08-20T21:52:49.0848531Z Running 0 items in this shard: 2024-08-20T21:52:49.0848779Z 2024-08-20T21:52:49.0852438Z Running test_functionalization 1/1 ... [2024-08-20 21:52:49.085021] 2024-08-20T21:52:49.0853025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:49.0857787Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:49.085499] 2024-08-20T21:52:51.5836549Z 2024-08-20T21:52:51.5838312Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_a5d2f02b2f7f4184_.log 2024-08-20T21:52:51.5839440Z Running 0 items in this shard: 2024-08-20T21:52:51.5839705Z 2024-08-20T21:52:51.5842873Z Running inductor/test_cudacodecache 1/1 ... [2024-08-20 21:52:51.584083] 2024-08-20T21:52:51.5843492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:51.5848241Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:51.584541] 2024-08-20T21:52:54.0719377Z 2024-08-20T21:52:54.0721929Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_44d6561afad84617_.log 2024-08-20T21:52:54.0723821Z 2024-08-20T21:52:54.0727530Z Running test_serialization 1/1 ... [2024-08-20 21:52:54.072504] 2024-08-20T21:52:54.0728450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:52:54.0735111Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:52:54.073075] 2024-08-20T21:53:04.2326069Z 2024-08-20T21:53:04.2328311Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_a825b38df7b0063f_.log 2024-08-20T21:53:04.2330896Z Running 1 items in this shard: test/test_serialization.py::TestSerialization::test_serialization_2gb_file 2024-08-20T21:53:04.2332107Z 2024-08-20T21:53:04.2336066Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2024-08-20 21:53:04.233324] 2024-08-20T21:53:04.2337173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:04.2343494Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:04.233907] 2024-08-20T21:53:08.1074712Z 2024-08-20T21:53:08.1077632Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_bcc350ddf752dd3d_.log 2024-08-20T21:53:08.1079449Z 2024-08-20T21:53:08.1080502Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2024-08-20 21:53:08.107829] 2024-08-20T21:53:08.1081383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:08.1087404Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:08.108314] 2024-08-20T21:53:15.3182848Z 2024-08-20T21:53:15.3185254Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_cf032028a73ee6c7_.log 2024-08-20T21:53:15.3186609Z 2024-08-20T21:53:15.3301644Z Running dynamo/test_trace_rules 1/1 ... [2024-08-20 21:53:15.329798] 2024-08-20T21:53:15.3302276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:15.3306472Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:15.330295] 2024-08-20T21:53:15.3380647Z Running dynamo/test_misc 1/1 ... [2024-08-20 21:53:15.337755] 2024-08-20T21:53:15.3381354Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:15.3387608Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:15.338250] 2024-08-20T21:53:15.3391199Z Running dynamo/test_functions 1/1 ... [2024-08-20 21:53:15.338363] 2024-08-20T21:53:15.3392327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:15.3395942Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:15.338874] 2024-08-20T21:53:17.9147075Z 2024-08-20T21:53:17.9148873Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_77a7014b683907b5_.log 2024-08-20T21:53:17.9149827Z 2024-08-20T21:53:18.0544279Z 2024-08-20T21:53:18.0546189Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_f26a4a125ae2c55c_.log 2024-08-20T21:53:18.0547164Z 2024-08-20T21:53:19.7778572Z 2024-08-20T21:53:19.7780776Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_7f930fbb60ffb121_.log 2024-08-20T21:53:19.7782220Z 2024-08-20T21:53:20.8722561Z Running dynamo/test_higher_order_ops 1/1 ... [2024-08-20 21:53:20.871778] 2024-08-20T21:53:20.8723565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:20.8726041Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:20.872159] 2024-08-20T21:53:20.9838353Z Running inductor/test_torchinductor 1/1 ... [2024-08-20 21:53:20.983387] 2024-08-20T21:53:20.9839821Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:20.9843305Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:20.983778] 2024-08-20T21:53:22.4936584Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2024-08-20 21:53:22.493201] 2024-08-20T21:53:22.4937549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:22.4940093Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:22.493622] 2024-08-20T21:53:23.5780644Z 2024-08-20T21:53:23.5790891Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_8b2be8585109e3e5_.log 2024-08-20T21:53:23.5797187Z 2024-08-20T21:53:27.0134751Z Running dynamo/test_export 1/1 ... [2024-08-20 21:53:27.012988] 2024-08-20T21:53:27.0135809Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:27.0140875Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:27.013452] 2024-08-20T21:53:28.4965881Z 2024-08-20T21:53:28.4968346Z inductor/test_torchinductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.1_db43623ca78b25e9_.log 2024-08-20T21:53:28.4970216Z 2024-08-20T21:53:30.0822166Z 2024-08-20T21:53:30.0824325Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_bebb4364568f992b_.log 2024-08-20T21:53:30.0825531Z 2024-08-20T21:53:30.6896849Z 2024-08-20T21:53:30.6900080Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_303e080072972328_.log 2024-08-20T21:53:30.6902279Z 2024-08-20T21:53:31.3318930Z Running inductor/test_compiled_optimizers 1/1 ... [2024-08-20 21:53:31.331405] 2024-08-20T21:53:31.3320049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:31.3323299Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:31.331805] 2024-08-20T21:53:32.8790550Z Running dynamo/test_interop 1/1 ... [2024-08-20 21:53:32.878610] 2024-08-20T21:53:32.8791516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:32.8794722Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:32.878996] 2024-08-20T21:53:33.5000992Z Running dynamo/test_exc 1/1 ... [2024-08-20 21:53:33.499627] 2024-08-20T21:53:33.5002294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:33.5005863Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:33.499995] 2024-08-20T21:53:35.4695579Z 2024-08-20T21:53:35.4697849Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_41cfb22866cd9665_.log 2024-08-20T21:53:35.4699964Z 2024-08-20T21:53:36.4219736Z 2024-08-20T21:53:36.4221680Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_c1eba43d0ce356c8_.log 2024-08-20T21:53:36.4223302Z 2024-08-20T21:53:38.2823993Z Running dynamo/test_unspec 1/1 ... [2024-08-20 21:53:38.281887] 2024-08-20T21:53:38.2824691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:38.2828607Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:38.282457] 2024-08-20T21:53:39.2294389Z Running dynamo/test_ctx_manager 1/1 ... [2024-08-20 21:53:39.228966] 2024-08-20T21:53:39.2295459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:39.2298677Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:39.229372] 2024-08-20T21:53:39.2941685Z 2024-08-20T21:53:39.2946202Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_fac4598f3954f65d_.log 2024-08-20T21:53:39.2948422Z 2024-08-20T21:53:40.8501523Z 2024-08-20T21:53:40.8503110Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_f2cac113caab27a6_.log 2024-08-20T21:53:40.8504164Z 2024-08-20T21:53:42.0532773Z 2024-08-20T21:53:42.0535124Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_03542cfa5aaabd2f_.log 2024-08-20T21:53:42.0536945Z 2024-08-20T21:53:42.0751942Z Running inductor/test_pattern_matcher 1/1 ... [2024-08-20 21:53:42.074771] 2024-08-20T21:53:42.0752716Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:42.0755480Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:42.075146] 2024-08-20T21:53:43.5684370Z Running dynamo/test_activation_checkpointing 1/1 ... [2024-08-20 21:53:43.567916] 2024-08-20T21:53:43.5685233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:43.5687623Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:43.568289] 2024-08-20T21:53:44.8173138Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2024-08-20 21:53:44.816831] 2024-08-20T21:53:44.8174262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:44.8177675Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:44.817232] 2024-08-20T21:53:46.0310727Z 2024-08-20T21:53:46.0313028Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_e6e9bdbd8a69fcb9_.log 2024-08-20T21:53:46.0314861Z 2024-08-20T21:53:46.8038374Z 2024-08-20T21:53:46.8041099Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_e9e1c6b9e3677ac6_.log 2024-08-20T21:53:46.8043008Z 2024-08-20T21:53:49.2878571Z Running inductor/test_fused_attention 1/1 ... [2024-08-20 21:53:49.287364] 2024-08-20T21:53:49.2879706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:49.2883373Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:49.287732] 2024-08-20T21:53:49.6155447Z Running inductor/test_foreach 1/1 ... [2024-08-20 21:53:49.615056] 2024-08-20T21:53:49.6156427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:49.6159545Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:49.615455] 2024-08-20T21:53:52.1991189Z 2024-08-20T21:53:52.1993782Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_8b75f98f82bec5c6_.log 2024-08-20T21:53:52.1995671Z 2024-08-20T21:53:55.0965967Z Running inductor/test_split_cat_fx_passes 1/1 ... [2024-08-20 21:53:55.096131] 2024-08-20T21:53:55.0967215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:55.0970478Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:55.096556] 2024-08-20T21:53:56.6224844Z 2024-08-20T21:53:56.6227688Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_f35bcc42c888f133_.log 2024-08-20T21:53:56.6229997Z 2024-08-20T21:53:58.6022596Z 2024-08-20T21:53:58.6025159Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_1f7c6f8a5b242397_.log 2024-08-20T21:53:58.6026848Z 2024-08-20T21:53:58.8579576Z 2024-08-20T21:53:58.8582170Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_101b4f677049f874_.log 2024-08-20T21:53:58.8583226Z 2024-08-20T21:53:59.4658416Z Running inductor/test_cpu_repro 1/1 ... [2024-08-20 21:53:59.465312] 2024-08-20T21:53:59.4659545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:53:59.4662575Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:53:59.465722] 2024-08-20T21:54:01.5643255Z Running inductor/test_cuda_repro 1/1 ... [2024-08-20 21:54:01.563889] 2024-08-20T21:54:01.5644154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:01.5646704Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:01.564296] 2024-08-20T21:54:01.7124196Z Running dynamo/test_aot_autograd 1/1 ... [2024-08-20 21:54:01.711943] 2024-08-20T21:54:01.7125343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:01.7128564Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:01.712372] 2024-08-20T21:54:04.4534194Z 2024-08-20T21:54:04.4536474Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_3869affb511abae5_.log 2024-08-20T21:54:04.4538592Z 2024-08-20T21:54:07.3706684Z 2024-08-20T21:54:07.3709330Z inductor/test_cpu_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.1_10f33ea67af96d1d_.log 2024-08-20T21:54:07.3710993Z 2024-08-20T21:54:07.5694122Z Running dynamo/test_backends 1/1 ... [2024-08-20 21:54:07.568926] 2024-08-20T21:54:07.5695190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:07.5699180Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:07.569413] 2024-08-20T21:54:09.1634740Z 2024-08-20T21:54:09.1636900Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_9f08b85f29e7a14d_.log 2024-08-20T21:54:09.1638589Z 2024-08-20T21:54:10.1287329Z Running dynamo/test_comptime 1/1 ... [2024-08-20 21:54:10.128247] 2024-08-20T21:54:10.1288324Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:10.1291450Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:10.128631] 2024-08-20T21:54:10.2697170Z 2024-08-20T21:54:10.2699806Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_a2cbeb75e23b5db0_.log 2024-08-20T21:54:10.2701978Z 2024-08-20T21:54:12.0642447Z Running dynamo/test_minifier 1/1 ... [2024-08-20 21:54:12.063740] 2024-08-20T21:54:12.0643546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:12.0647675Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:12.064137] 2024-08-20T21:54:12.7596978Z 2024-08-20T21:54:12.7598774Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_802f92e1003a8ae1_.log 2024-08-20T21:54:12.7599708Z 2024-08-20T21:54:13.0682168Z Running inductor/test_extension_backend 1/1 ... [2024-08-20 21:54:13.067742] 2024-08-20T21:54:13.0683019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:13.0685336Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:13.068141] 2024-08-20T21:54:14.6016273Z 2024-08-20T21:54:14.6018436Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_6f6027053699a335_.log 2024-08-20T21:54:14.6020059Z 2024-08-20T21:54:15.4408623Z Running dynamo/test_config 1/1 ... [2024-08-20 21:54:15.440357] 2024-08-20T21:54:15.4409723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:15.4413109Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:15.440795] 2024-08-20T21:54:17.4847864Z Running inductor/test_minifier 1/1 ... [2024-08-20 21:54:17.484319] 2024-08-20T21:54:17.4848941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:17.4851885Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:17.484665] 2024-08-20T21:54:18.4493086Z 2024-08-20T21:54:18.4496096Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_cd70c14b5429cf11_.log 2024-08-20T21:54:18.4497767Z 2024-08-20T21:54:20.1503358Z 2024-08-20T21:54:20.1511042Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_817fb98a327e69d1_.log 2024-08-20T21:54:20.1517405Z 2024-08-20T21:54:20.4141240Z 2024-08-20T21:54:20.4143378Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_d6c1ef51a8941781_.log 2024-08-20T21:54:20.4144969Z 2024-08-20T21:54:21.5983975Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2024-08-20 21:54:21.597876] 2024-08-20T21:54:21.5985251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:21.5990311Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:21.598357] 2024-08-20T21:54:22.9609743Z Running inductor/test_binary_folding 1/1 ... [2024-08-20 21:54:22.960509] 2024-08-20T21:54:22.9610935Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:22.9616227Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:22.960864] 2024-08-20T21:54:23.1976329Z Running inductor/test_select_algorithm 1/1 ... [2024-08-20 21:54:23.197186] 2024-08-20T21:54:23.1977402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:23.1980872Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:23.197624] 2024-08-20T21:54:24.2087413Z 2024-08-20T21:54:24.2090301Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_2c842fc039c7936b_.log 2024-08-20T21:54:24.2092277Z 2024-08-20T21:54:27.5534102Z Running dynamo/test_verify_correctness 1/1 ... [2024-08-20 21:54:27.552907] 2024-08-20T21:54:27.5535742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:27.5539549Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:27.553371] 2024-08-20T21:54:27.7349847Z 2024-08-20T21:54:27.7352332Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_ae269e41dc96667a_.log 2024-08-20T21:54:30.1812931Z 2024-08-20T21:54:30.1812952Z 2024-08-20T21:54:30.1814851Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_46af4b13fb8c0dc3_.log 2024-08-20T21:54:30.1815889Z 2024-08-20T21:54:30.8157541Z 2024-08-20T21:54:30.8159922Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_5ac09311b3548844_.log 2024-08-20T21:54:30.8161600Z 2024-08-20T21:54:30.9400496Z Running dynamo/test_nops 1/1 ... [2024-08-20 21:54:30.939575] 2024-08-20T21:54:30.9401389Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:30.9405114Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:30.940038] 2024-08-20T21:54:32.9958847Z Running inductor/test_triton_heuristics 1/1 ... [2024-08-20 21:54:32.995419] 2024-08-20T21:54:32.9959767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:32.9962571Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:32.995821] 2024-08-20T21:54:33.6665356Z Running inductor/test_minifier_isolate 1/1 ... [2024-08-20 21:54:33.666084] 2024-08-20T21:54:33.6666410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:33.6668878Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:33.666430] 2024-08-20T21:54:33.6687986Z 2024-08-20T21:54:33.6689359Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_e95f9f8939011b4e_.log 2024-08-20T21:54:33.6690215Z 2024-08-20T21:54:35.6658309Z 2024-08-20T21:54:35.6660302Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_f510b999fe0861ff_.log 2024-08-20T21:54:35.6661442Z 2024-08-20T21:54:36.4103417Z Running inductor/test_custom_lowering 1/1 ... [2024-08-20 21:54:36.409612] 2024-08-20T21:54:36.4105001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:36.4106925Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:36.409992] 2024-08-20T21:54:36.5310437Z 2024-08-20T21:54:36.5312801Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_8b766b08b56fef3b_.log 2024-08-20T21:54:36.5314596Z 2024-08-20T21:54:38.8941369Z Running export/test_unflatten 1/1 ... [2024-08-20 21:54:38.893570] 2024-08-20T21:54:38.8942464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:38.8952454Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:38.893987] 2024-08-20T21:54:39.4524850Z Running export/test_serdes 1/1 ... [2024-08-20 21:54:39.451897] 2024-08-20T21:54:39.4526090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:39.4530268Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'export/test_serdes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:39.452464] 2024-08-20T21:54:43.4056775Z 2024-08-20T21:54:43.4059413Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_28c52389f3fe5f1a_.log 2024-08-20T21:54:43.4061531Z 2024-08-20T21:54:43.9466703Z 2024-08-20T21:54:43.9472642Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_2f2d171024f007d3_.log 2024-08-20T21:54:43.9474748Z 2024-08-20T21:54:46.5832094Z Running test_autograd 1/1 ... [2024-08-20 21:54:46.582751] 2024-08-20T21:54:46.5833070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:46.5836679Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:46.583174] 2024-08-20T21:54:46.7917632Z Running test_functionalization 1/1 ... [2024-08-20 21:54:46.791320] 2024-08-20T21:54:46.7919067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:46.7922393Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:46.791756] 2024-08-20T21:54:53.8463574Z 2024-08-20T21:54:53.8465645Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_02fc2f0a14c768df_.log 2024-08-20T21:54:53.8477706Z Running 23 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_attr_as_submod_input, test/export/test_unflatten.py::TestUnflatten::test_dedup_sym_size, test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_duplicate_placeholder, test/export/test_unflatten.py::TestUnflatten::test_fx_trace, test/export/test_unflatten.py::TestUnflatten::test_nested_leaf_non_strict, test/export/test_unflatten.py::TestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened, test/export/test_unflatten.py::TestUnflatten::test_simple_alias, test/export/test_unflatten.py::TestUnflatten::test_unflatten_buffer_mutation, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_obj, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_tensor, test/export/test_unflatten.py::TestUnflatten::test_unflatten_container_type, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_with_unused_input, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_skipped_call_module, test/export/test_unflatten.py::TestUnflatten::test_unflatten_submodule_ordering, test/export/test_unflatten.py::TestUnflatten::test_unflatten_with_inplace_compile, test/export/test_unflatten.py::TestUnflatten::test_unflatten_wrong_input, test/export/test_unflatten.py::TestUnflatten::test_unflattened_module_nodes_has_meta_val 2024-08-20T21:54:53.8487590Z 2024-08-20T21:54:55.2315070Z 2024-08-20T21:54:55.2317117Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_664bbcd667ca19fc_.log 2024-08-20T21:54:55.2370934Z Running 112 items in this shard: test/test_functionalization.py::TestFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestFunctionalization::test_as_strided, test/test_functionalization.py::TestFunctionalization::test_batch_norm, test/test_functionalization.py::TestFunctionalization::test_cat, test/test_functionalization.py::TestFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestFunctionalization::test_copy_, test/test_functionalization.py::TestFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestFunctionalization::test_diagonal, test/test_functionalization.py::TestFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestFunctionalization::test_everything, test/test_functionalization.py::TestFunctionalization::test_expand_symint, test/test_functionalization.py::TestFunctionalization::test_fill_, test/test_functionalization.py::TestFunctionalization::test_freeze, test/test_functionalization.py::TestFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestFunctionalization::test_instance_norm, test/test_functionalization.py::TestFunctionalization::test_metadata_change, test/test_functionalization.py::TestFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestFunctionalization::test_multi_out, test/test_functionalization.py::TestFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestFunctionalization::test_only_one_view, test/test_functionalization.py::TestFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestFunctionalization::test_python_functionalization, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestFunctionalization::test_resize_smaller, test/test_functionalization.py::TestFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestFunctionalization::test_scalars, test/test_functionalization.py::TestFunctionalization::test_set_, test/test_functionalization.py::TestFunctionalization::test_simple, test/test_functionalization.py::TestFunctionalization::test_simple_out, test/test_functionalization.py::TestFunctionalization::test_slice, test/test_functionalization.py::TestFunctionalization::test_split, test/test_functionalization.py::TestFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestFunctionalization::test_unbind, test/test_functionalization.py::TestFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestFunctionalization::test_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestCrossRefFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestCrossRefFunctionalization::test_as_strided, test/test_functionalization.py::TestCrossRefFunctionalization::test_batch_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_cat, test/test_functionalization.py::TestCrossRefFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_everything, test/test_functionalization.py::TestCrossRefFunctionalization::test_expand_symint, test/test_functionalization.py::TestCrossRefFunctionalization::test_fill_, test/test_functionalization.py::TestCrossRefFunctionalization::test_freeze, test/test_functionalization.py::TestCrossRefFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_instance_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_multi_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestCrossRefFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestCrossRefFunctionalization::test_only_one_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestCrossRefFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_smaller, test/test_functionalization.py::TestCrossRefFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestCrossRefFunctionalization::test_scalars, test/test_functionalization.py::TestCrossRefFunctionalization::test_set_, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_slice, test/test_functionalization.py::TestCrossRefFunctionalization::test_split, test/test_functionalization.py::TestCrossRefFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestCrossRefFunctionalization::test_unbind, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_inplace 2024-08-20T21:54:55.2422695Z 2024-08-20T21:54:56.7238958Z Running inductor/test_cudacodecache 1/1 ... [2024-08-20 21:54:56.723421] 2024-08-20T21:54:56.7239763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:56.7242098Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:56.723801] 2024-08-20T21:54:57.8779521Z Running test_serialization 1/1 ... [2024-08-20 21:54:57.877407] 2024-08-20T21:54:57.8780577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:54:57.8783718Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'test_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:54:57.877762] 2024-08-20T21:54:59.3387672Z 2024-08-20T21:54:59.3389682Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_20c6cf5a2f4b4d7c_.log 2024-08-20T21:54:59.3390855Z 2024-08-20T21:55:02.6802026Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2024-08-20 21:55:02.679726] 2024-08-20T21:55:02.6803402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:55:02.6807078Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:55:02.680108] 2024-08-20T21:55:07.3153100Z 2024-08-20T21:55:07.3155741Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_2b5ac85e206d0318_.log 2024-08-20T21:55:07.3156970Z 2024-08-20T21:55:10.4523631Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2024-08-20 21:55:10.451736] 2024-08-20T21:55:10.4524844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:55:10.4530928Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:55:10.452463] 2024-08-20T21:55:18.3194090Z 2024-08-20T21:55:18.3196496Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_8e6f40716ded58a7_.log 2024-08-20T21:55:18.3201538Z 2024-08-20T21:55:22.1742121Z 2024-08-20T21:55:22.1743670Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_bb7e5957aa7478cb_.log 2024-08-20T21:55:22.2016768Z Running 633 items in this shard: test/test_autograd.py::TestAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/test_autograd.py::TestAutograd::test_accumulate_grad, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_should_not_execute, test/test_autograd.py::TestAutograd::test_accumulate_grad_tensor_reference, test/test_autograd.py::TestAutograd::test_accumulate_grad_with_zero_numel_grad, test/test_autograd.py::TestAutograd::test_anomaly_assign_parent_cleanup, test/test_autograd.py::TestAutograd::test_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_anomaly_grad_warnings, test/test_autograd.py::TestAutograd::test_anomaly_mode_no_check_nan, test/test_autograd.py::TestAutograd::test_attribute_deletion, test/test_autograd.py::TestAutograd::test_autograd_inplace_view_of_view, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_creation_meta, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_cross_dtype, test/test_autograd.py::TestAutograd::test_autograd_multiple_views_python, test/test_autograd.py::TestAutograd::test_autograd_node_isinstance, test/test_autograd.py::TestAutograd::test_autograd_print_tensor, test/test_autograd.py::TestAutograd::test_autograd_python_custom_function_inplace, test/test_autograd.py::TestAutograd::test_autograd_simple_views_python, test/test_autograd.py::TestAutograd::test_autograd_views_codegen, test/test_autograd.py::TestAutograd::test_backward, test/test_autograd.py::TestAutograd::test_backward_badcalls, test/test_autograd.py::TestAutograd::test_backward_copy, test/test_autograd.py::TestAutograd::test_backward_create_graph_warns, test/test_autograd.py::TestAutograd::test_backward_no_grad, test/test_autograd.py::TestAutograd::test_backward_to_node, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_with_inputs, test/test_autograd.py::TestAutograd::test_backward_with_nonleaf_inputs, test/test_autograd.py::TestAutograd::test_calculate_shape_util, test/test_autograd.py::TestAutograd::test_callback_adds_callback, test/test_autograd.py::TestAutograd::test_callback_propagates_errors_from_device_thread, test/test_autograd.py::TestAutograd::test_cant_create_saved_tensors, test/test_autograd.py::TestAutograd::test_checkpoint_detects_non_determinism, test/test_autograd.py::TestAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpoint_valid_reset_on_error, test/test_autograd.py::TestAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpointing, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_correct_grad, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_custom_function_works, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_dataparallel, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_memory_savings, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_parameter_used_in_an_out, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_saved_object_identity, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_with_context_fn, test/test_autograd.py::TestAutograd::test_copy_slices_graph_task_updates, test/test_autograd.py::TestAutograd::test_create_graph_and_full_backward_hook_cycle, test/test_autograd.py::TestAutograd::test_current_graph_task_execution_order, test/test_autograd.py::TestAutograd::test_current_graph_task_id, test/test_autograd.py::TestAutograd::test_current_node, test/test_autograd.py::TestAutograd::test_custom_autograd_no_early_free, test/test_autograd.py::TestAutograd::test_custom_autograd_repeated_grad_grad, test/test_autograd.py::TestAutograd::test_custom_function_cycle, test/test_autograd.py::TestAutograd::test_custom_function_error, test/test_autograd.py::TestAutograd::test_custom_function_exception, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_forward_is_no_op, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_inplace_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_tensor_before_tensor_args, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_view_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_wrong_formula, test/test_autograd.py::TestAutograd::test_custom_function_local_inplace, test/test_autograd.py::TestAutograd::test_custom_function_mark_dirty_not_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_no_tensors, test/test_autograd.py::TestAutograd::test_custom_function_non_tensor_inputs_outputs, test/test_autograd.py::TestAutograd::test_custom_function_preserve_torch_function_when_return_as_is, test/test_autograd.py::TestAutograd::test_custom_function_return_view_in_nograd, test/test_autograd.py::TestAutograd::test_custom_function_save_for_forward, test/test_autograd.py::TestAutograd::test_custom_function_saved_tensors, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_input, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_output, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_simple, test/test_autograd.py::TestAutograd::test_custom_function_vmap_defaults, test/test_autograd.py::TestAutograd::test_deep_reentrant, test/test_autograd.py::TestAutograd::test_default_saved_variable_hooks_double_backward, test/test_autograd.py::TestAutograd::test_dep_nograd, test/test_autograd.py::TestAutograd::test_dependent_backward, test/test_autograd.py::TestAutograd::test_detach, test/test_autograd.py::TestAutograd::test_detach_base, test/test_autograd.py::TestAutograd::test_detach_then_inplace_raises_in_autograd, test/test_autograd.py::TestAutograd::test_diagonal_expanded_v, test/test_autograd.py::TestAutograd::test_dir, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks_nested, test/test_autograd.py::TestAutograd::test_dont_materialize_grads, test/test_autograd.py::TestAutograd::test_duplicate_backward_root, test/test_autograd.py::TestAutograd::test_enable_grad_decorator_no_paren, test/test_autograd.py::TestAutograd::test_first_grad_fn_access_in_no_grad_mode, test/test_autograd.py::TestAutograd::test_free_deep_graph, test/test_autograd.py::TestAutograd::test_free_deep_graph_complicated, test/test_autograd.py::TestAutograd::test_free_deep_graph_pyfunction, test/test_autograd.py::TestAutograd::test_full_backward_hook_double_backward, test/test_autograd.py::TestAutograd::test_function, test/test_autograd.py::TestAutograd::test_function_returns_input, test/test_autograd.py::TestAutograd::test_function_returns_undefined_tensor, test/test_autograd.py::TestAutograd::test_gc_in_destructor, test/test_autograd.py::TestAutograd::test_grad, test/test_autograd.py::TestAutograd::test_grad_badcalls, test/test_autograd.py::TestAutograd::test_grad_batched_grad, test/test_autograd.py::TestAutograd::test_grad_empty_inputs, test/test_autograd.py::TestAutograd::test_grad_fn_attr_bindings, test/test_autograd.py::TestAutograd::test_grad_fn_badcalls, test/test_autograd.py::TestAutograd::test_grad_fn_input_metadata, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks_multiple_outputs, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks_remove_hooks, test/test_autograd.py::TestAutograd::test_grad_materialize_grads, test/test_autograd.py::TestAutograd::test_grad_mode_class_decoration, test/test_autograd.py::TestAutograd::test_grad_mode_restored_reentrant, test/test_autograd.py::TestAutograd::test_grad_nonleaf, test/test_autograd.py::TestAutograd::test_grad_nonleaf_many_outputs, test/test_autograd.py::TestAutograd::test_grad_nonleaf_register_hook, test/test_autograd.py::TestAutograd::test_grad_to_node, test/test_autograd.py::TestAutograd::test_grad_to_node_inplace, test/test_autograd.py::TestAutograd::test_grad_to_node_materialize, test/test_autograd.py::TestAutograd::test_grad_to_node_multi, test/test_autograd.py::TestAutograd::test_grad_to_node_set, test/test_autograd.py::TestAutograd::test_grad_unreachable, test/test_autograd.py::TestAutograd::test_grad_unreachable_discovery, test/test_autograd.py::TestAutograd::test_gradcheck_backward_mul_by_grad_output, test/test_autograd.py::TestAutograd::test_gradcheck_check_batched_grad, test/test_autograd.py::TestAutograd::test_gradcheck_check_forward_or_backward_only, test/test_autograd.py::TestAutograd::test_gradcheck_check_no_differentiable_outputs, test/test_autograd.py::TestAutograd::test_gradcheck_complex_non_complex_outputs, test/test_autograd.py::TestAutograd::test_gradcheck_custom_error, test/test_autograd.py::TestAutograd::test_gradcheck_default_device_placement_context, test/test_autograd.py::TestAutograd::test_gradcheck_dense_and_sparse_inputs, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad_batched_grad, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad_respects_requires_grad, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad_runs_with_no_requires_grad, test/test_autograd.py::TestAutograd::test_gradcheck_get_analytical_jacobian, test/test_autograd.py::TestAutograd::test_gradcheck_get_numerical_jacobian, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout0, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout1, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout2, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout3, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout4, test/test_autograd.py::TestAutograd::test_gradcheck_jacobian_mismatch, test/test_autograd.py::TestAutograd::test_gradcheck_multiple_mkldnn_inputs, test/test_autograd.py::TestAutograd::test_gradcheck_nondeterministic, test/test_autograd.py::TestAutograd::test_gradcheck_output_shape_or_dtype_depend_on_values, test/test_autograd.py::TestAutograd::test_gradcheck_single_input, test/test_autograd.py::TestAutograd::test_gradcheck_test_outputs, test/test_autograd.py::TestAutograd::test_gradcheck_undefined_grad, test/test_autograd.py::TestAutograd::test_gradcheck_validates_input_mkldnn, test/test_autograd.py::TestAutograd::test_gradcheck_validates_inputs, test/test_autograd.py::TestAutograd::test_gradient_edge_output, test/test_autograd.py::TestAutograd::test_graph_save_on_cpu, test/test_autograd.py::TestAutograd::test_graph_save_on_cpu_cuda, test/test_autograd.py::TestAutograd::test_hessian_vector, 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test/test_autograd.py::TestAutograd::test_tensor_hooks_inplace_multiple_outputs, test/test_autograd.py::TestAutograd::test_tensor_hooks_inplace_over_view, test/test_autograd.py::TestAutograd::test_thread_shutdown, test/test_autograd.py::TestAutograd::test_to_sparse_backward, test/test_autograd.py::TestAutograd::test_too_many_grads, test/test_autograd.py::TestAutograd::test_type_conversions, test/test_autograd.py::TestAutograd::test_unpack_hooks_exec_count, test/test_autograd.py::TestAutograd::test_unrelated_inputs, test/test_autograd.py::TestAutograd::test_unsafe_set_version_counter, test/test_autograd.py::TestAutograd::test_unused_output, test/test_autograd.py::TestAutograd::test_var_mean_differentiable, test/test_autograd.py::TestAutograd::test_variable_traverse, test/test_autograd.py::TestAutograd::test_version_counter, test/test_autograd.py::TestAutograd::test_view_func_replay, test/test_autograd.py::TestAutograd::test_view_func_replay_with_modified_state, test/test_autograd.py::TestAutograd::test_view_replay_enabled, test/test_autograd.py::TestAutograd::test_volatile_deprecated, test/test_autograd.py::TestAutograd::test_will_engine_execute_node, test/test_autograd.py::TestAutograd::test_wrapped_number_saved_variable_hooks, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_inplace_on_view_not_same_layout, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_inplace_on_view_same_layout, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_metadata_check_for_storage_numel_skipped, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_out_of_place_basic, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_out_of_place_not_same_layout, test/test_autograd.py::TestAutogradForwardMode::test_advanced_packing_unpacking, test/test_autograd.py::TestAutogradForwardMode::test_backward_graph_destruction, test/test_autograd.py::TestAutogradForwardMode::test_basic_packing_unpacking, test/test_autograd.py::TestAutogradForwardMode::test_codegen_ignores_undefined_outputs, test/test_autograd.py::TestAutogradForwardMode::test_create_new_zeros_with_same_meta, test/test_autograd.py::TestAutogradForwardMode::test_default_level, test/test_autograd.py::TestAutogradForwardMode::test_detach_view_tracking, test/test_autograd.py::TestAutogradForwardMode::test_forward_level_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_grad_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_forbid_integral_dtype, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_inference_tensor_in_inference_mode, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_torch_dispatch, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_check_conj, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_checks_ignores_size_zero, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_checks_storage_numel, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_ignore_storage_offset_for_zero_numel_tensor, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_when_primal_has_conj_bit, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_when_primal_has_neg_bit, test/test_autograd.py::TestAutogradForwardMode::test_nested_level, test/test_autograd.py::TestAutogradForwardMode::test_non_differentiable, test/test_autograd.py::TestAutogradForwardMode::test_out_variant, test/test_autograd.py::TestAutogradForwardMode::test_print, test/test_autograd.py::TestAutogradForwardMode::test_set_fw_grad_having_own_fw_grad_at_same_level, test/test_autograd.py::TestAutogradForwardMode::test_set_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_size_check, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_always_creates_a_view, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_differentiable_views, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_non_differentiable_views, test/test_autograd.py::TestAllowMutationOnSaved::test_backward_out_of_context, test/test_autograd.py::TestAllowMutationOnSaved::test_basic, test/test_autograd.py::TestAllowMutationOnSaved::test_disallow_nesting, test/test_autograd.py::TestAllowMutationOnSaved::test_double_backward, test/test_autograd.py::TestAllowMutationOnSaved::test_save_base_and_modify_view, test/test_autograd.py::TestAllowMutationOnSaved::test_save_view_modify_base, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_but_not_anymore, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_same_tensor_different_versions, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_same_tensor_many_times, test/test_autograd.py::TestAllowMutationOnSaved::test_views, test/test_autograd.py::TestAllowMutationOnSaved::test_with_math_views, test/test_autograd.py::TestAllowMutationOnSaved::test_with_out_variant, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_context_manager, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_decorator, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_existing_autograd_session, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_handle_direct_view_on_rebase, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_handle_indirect_view_on_rebase, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_tensor_creation, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_inplace_output_in_inference_mode, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_inplace_output_in_normal_mode, 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test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_single_threaded_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_tls_stash_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_foward_mode_AD_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_is_retain_graph_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_per_dispatch_key_input_saving_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_set_sequence_nr_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_view_copy_cpu 2024-08-20T21:55:22.2280977Z 2024-08-20T21:55:27.8539209Z 2024-08-20T21:55:27.8540900Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_570ef522852c6d03_.log 2024-08-20T21:55:27.8610095Z Running 139 items in this shard: test/test_serialization.py::TestOldSerialization::test_load_error_msg, test/test_serialization.py::TestOldSerialization::test_load_nonexistent_device, test/test_serialization.py::TestOldSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestOldSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestOldSerialization::test_pickle_module, test/test_serialization.py::TestOldSerialization::test_safe_load_basic_types, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_error, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestOldSerialization::test_serialization, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestOldSerialization::test_serialization_container, test/test_serialization.py::TestOldSerialization::test_serialization_container_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_dill, test/test_serialization.py::TestOldSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestOldSerialization::test_serialization_fake_zip, test/test_serialization.py::TestOldSerialization::test_serialization_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestOldSerialization::test_serialization_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_map_location, test/test_serialization.py::TestOldSerialization::test_serialization_offset, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_False, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_True, test/test_serialization.py::TestOldSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_safe, test/test_serialization.py::TestOldSerialization::test_serialization_save_warnings, test/test_serialization.py::TestOldSerialization::test_serialization_sparse, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestOldSerialization::test_serialization_storage_slice, test/test_serialization.py::TestOldSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestOldSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_False, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_True, test/test_serialization.py::TestSerialization::test_load_error_msg, test/test_serialization.py::TestSerialization::test_load_nonexistent_device, test/test_serialization.py::TestSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestSerialization::test_lr_scheduler_serialization, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pickle_module, test/test_serialization.py::TestSerialization::test_safe_load_basic_types, test/test_serialization.py::TestSerialization::test_save_different_dtype_error, test/test_serialization.py::TestSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestSerialization::test_serialization, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byteorder_mark, test/test_serialization.py::TestSerialization::test_serialization_dill, test/test_serialization.py::TestSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_fake_zip, test/test_serialization.py::TestSerialization::test_serialization_filelike, test/test_serialization.py::TestSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestSerialization::test_serialization_gzip, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bfloat16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bool, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cdouble, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cfloat, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_double, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_float, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_half, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int8, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_long, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_uint8, test/test_serialization.py::TestSerialization::test_serialization_map_location, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_with_map_location, test/test_serialization.py::TestSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_safe, test/test_serialization.py::TestSerialization::test_serialization_save_warnings, test/test_serialization.py::TestSerialization::test_serialization_sparse, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestSerialization::test_serialization_storage_slice, test/test_serialization.py::TestSerialization::test_serialization_warning_s390x, test/test_serialization.py::TestSerialization::test_serialization_zipfile_actually_jit, test/test_serialization.py::TestSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_True, test/test_serialization.py::TestSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_weights_only_assert, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_False, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_True, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_blocklist, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_newobj, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_False, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_True, test/test_serialization.py::TestSubclassSerialization::test_empty_class_serialization, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_context_manager_weights_only, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_for_weights_only, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_deepcopy, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_getstate_overwrite, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_map_location, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_wrapper_serialization, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_False_cpu, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_True_cpu 2024-08-20T21:55:27.8674095Z 2024-08-20T21:55:28.3273436Z Running test batch 'tests to run' cost 497.42 seconds 2024-08-20T21:55:28.9754883Z 2024-08-20T21:55:28.9755477Z real 8m22.092s 2024-08-20T21:55:28.9756196Z user 16m52.915s 2024-08-20T21:55:28.9756847Z sys 3m30.077s 2024-08-20T21:55:28.9757484Z + assert_git_not_dirty 2024-08-20T21:55:28.9758734Z + [[ linux-focal-py3.8-clang10 != *rocm* ]] 2024-08-20T21:55:28.9759957Z + [[ linux-focal-py3.8-clang10 != *xla* ]] 2024-08-20T21:55:28.9761056Z ++ grep -v '?? third_party' 2024-08-20T21:55:28.9761980Z ++ git status --porcelain 2024-08-20T21:55:51.9346283Z ++ true 2024-08-20T21:55:51.9348518Z + git_status= 2024-08-20T21:55:51.9349128Z + [[ -n '' ]] 2024-08-20T21:55:51.9349459Z + test_libtorch 2 2024-08-20T21:55:51.9349839Z + local SHARD=2 2024-08-20T21:55:51.9350299Z + [[ crossref != \s\l\o\w ]] 2024-08-20T21:55:51.9351285Z + echo 'Testing libtorch' 2024-08-20T21:55:51.9351857Z Testing libtorch 2024-08-20T21:55:51.9353018Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9388829Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9397977Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9407658Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9417085Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9428829Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9437358Z + ln -sf '/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9447173Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9448785Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:55:51.9449418Z + [[ -z 2 ]] 2024-08-20T21:55:51.9449669Z + [[ 2 == \1 ]] 2024-08-20T21:55:51.9449966Z + [[ -z 2 ]] 2024-08-20T21:55:51.9450226Z + [[ 2 == \2 ]] 2024-08-20T21:55:51.9450490Z + test_libtorch_jit 2024-08-20T21:55:51.9450779Z + pushd test 2024-08-20T21:55:51.9451066Z ~/workspace/test ~/workspace 2024-08-20T21:55:51.9451428Z + python cpp/jit/tests_setup.py setup 2024-08-20T21:55:53.3054255Z + popd 2024-08-20T21:55:53.3054583Z ~/workspace 2024-08-20T21:55:53.3055125Z + [[ linux-focal-py3.8-clang10 == *cuda* ]] 2024-08-20T21:55:53.3055908Z + python test/run_test.py --cpp --verbose -i cpp/test_jit cpp/test_lazy -k 'not CUDA' 2024-08-20T21:55:53.4010956Z test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T21:55:53.4012837Z import pkg_resources 2024-08-20T21:55:56.4560300Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T21:55:56.4709434Z Found test times from artifacts 2024-08-20T21:55:56.5223679Z Found test times from artifacts 2024-08-20T21:55:56.5240879Z Running 25% of tests based on TD 2024-08-20T21:55:56.5244289Z Running parallel tests on 3 processes 2024-08-20T21:55:56.5245039Z Name: tests to run (est. time: 0.0min) 2024-08-20T21:55:56.5245678Z Serial tests (0): 2024-08-20T21:55:56.5245990Z Parallel tests (1): 2024-08-20T21:55:56.5246289Z cpp/test_jit 1/1 2024-08-20T21:55:56.5248606Z Name: excluded (est. time: 0.0min) 2024-08-20T21:55:56.5249259Z Serial tests (0): 2024-08-20T21:55:56.5249559Z Parallel tests (1): 2024-08-20T21:55:56.5249869Z cpp/test_lazy 1/1 2024-08-20T21:55:56.5474899Z Running cpp/test_jit 1/1 ... [2024-08-20 21:55:56.546943] 2024-08-20T21:55:56.5475879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:55:56.5491881Z Executing ['pytest', '/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin/test_jit', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d171eaed5bd81ab6.xml', '-k', 'not CUDA', '-x', '--reruns=2'] ... [2024-08-20 21:55:56.548610] 2024-08-20T21:55:59.4286029Z 2024-08-20T21:55:59.4287818Z cpp/test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_jit_1.1_1d59425b52fefee0_.log 2024-08-20T21:55:59.4288750Z 2024-08-20T21:55:59.4295195Z Running cpp/test_jit 1/1 ... [2024-08-20 21:55:59.429299] 2024-08-20T21:55:59.4295853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:55:59.4302227Z Executing ['pytest', '/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin/test_jit', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fd01a1bd45007a13.xml', '-k', 'not CUDA', '-x', '--reruns=2'] ... [2024-08-20 21:55:59.429863] 2024-08-20T21:57:21.6565660Z 2024-08-20T21:57:21.6568664Z cpp/test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_jit_1.1_ab22a917e45c1981_.log 2024-08-20T21:57:21.6576944Z 2024-08-20T21:57:22.1592220Z Running test batch 'tests to run' cost 85.63 seconds 2024-08-20T21:57:22.5696854Z + pushd test 2024-08-20T21:57:22.5697222Z ~/workspace/test ~/workspace 2024-08-20T21:57:22.5697772Z + python cpp/jit/tests_setup.py shutdown 2024-08-20T21:57:23.9186579Z + popd 2024-08-20T21:57:23.9187051Z ~/workspace 2024-08-20T21:57:23.9187334Z + assert_git_not_dirty 2024-08-20T21:57:23.9188133Z + [[ linux-focal-py3.8-clang10 != *rocm* ]] 2024-08-20T21:57:23.9189298Z + [[ linux-focal-py3.8-clang10 != *xla* ]] 2024-08-20T21:57:23.9192848Z ++ git status --porcelain 2024-08-20T21:57:23.9193391Z ++ grep -v '?? third_party' 2024-08-20T21:57:24.0968816Z ++ true 2024-08-20T21:57:24.0969704Z + git_status= 2024-08-20T21:57:24.0970626Z + [[ -n '' ]] 2024-08-20T21:57:24.0971037Z + test_aot_compilation 2024-08-20T21:57:24.0971538Z + echo 'Testing Ahead of Time compilation' 2024-08-20T21:57:24.0971992Z Testing Ahead of Time compilation 2024-08-20T21:57:24.0973325Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:57:24.0985405Z + ln -sf /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:57:24.0995608Z + '[' -f /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin/test_mobile_nnc ']' 2024-08-20T21:57:24.0996589Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:57:24.0997401Z + python test/run_test.py --cpp --verbose -i cpp/test_mobile_nnc 2024-08-20T21:57:24.1957316Z test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T21:57:24.1958293Z import pkg_resources 2024-08-20T21:57:27.2513600Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T21:57:27.2615694Z Found test times from artifacts 2024-08-20T21:57:27.3051532Z Found test times from artifacts 2024-08-20T21:57:27.3068627Z Running 25% of tests based on TD 2024-08-20T21:57:27.3072185Z Running parallel tests on 3 processes 2024-08-20T21:57:27.3073120Z Name: tests to run (est. time: 0.0min) 2024-08-20T21:57:27.3073637Z Serial tests (0): 2024-08-20T21:57:27.3073948Z Parallel tests (1): 2024-08-20T21:57:27.3074312Z cpp/test_mobile_nnc 1/1 2024-08-20T21:57:27.3074920Z Name: excluded (est. time: 0.0min) 2024-08-20T21:57:27.3075487Z Serial tests (0): 2024-08-20T21:57:27.3075794Z Parallel tests (0): 2024-08-20T21:57:27.3292740Z Running cpp/test_mobile_nnc 1/1 ... [2024-08-20 21:57:27.328822] 2024-08-20T21:57:27.3293802Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:57:27.3307643Z Executing ['pytest', '/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin/test_mobile_nnc', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6bf0ebe4a7652438.xml', '-x', '--reruns=2'] ... [2024-08-20 21:57:27.330195] 2024-08-20T21:57:29.7585523Z 2024-08-20T21:57:29.7587786Z cpp/test_mobile_nnc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_mobile_nnc_1.1_7fe7fe42a064b8b0_.log 2024-08-20T21:57:29.7589567Z 2024-08-20T21:57:29.7790901Z Running cpp/test_mobile_nnc 1/1 ... [2024-08-20 21:57:29.778701] 2024-08-20T21:57:29.7791822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:57:29.7796318Z Executing ['pytest', '/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin/test_mobile_nnc', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1b7cd497e51edec4.xml', '-x', '--reruns=2'] ... [2024-08-20 21:57:29.779166] 2024-08-20T21:57:32.6082020Z 2024-08-20T21:57:32.6083612Z cpp/test_mobile_nnc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_mobile_nnc_1.1_adaa7898fde8dc5b_.log 2024-08-20T21:57:32.6084532Z 2024-08-20T21:57:33.0765206Z Running test batch 'tests to run' cost 5.77 seconds 2024-08-20T21:57:33.4613706Z + '[' -f /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin/aot_model_compiler_test ']' 2024-08-20T21:57:33.4615642Z + source test/mobile/nnc/test_aot_compile.sh 2024-08-20T21:57:33.4616333Z ++ set -e -o pipefail 2024-08-20T21:57:33.4617179Z +++ python -c 'import site; print(site.getsitepackages()[0])' 2024-08-20T21:57:33.4832584Z ++ TORCH_INSTALL_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch 2024-08-20T21:57:33.4833498Z ++ TORCH_BIN_DIR=/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/bin 2024-08-20T21:57:33.4835155Z +++ dirname test/mobile/nnc/test_aot_compile.sh 2024-08-20T21:57:33.4855186Z ++ CURRENT_DIR=test/mobile/nnc 2024-08-20T21:57:33.4855905Z ++ MODEL=aot_test_model.pt 2024-08-20T21:57:33.4856311Z ++ COMPILED_MODEL=aot_test_model.compiled.pt 2024-08-20T21:57:33.4856770Z ++ COMPILED_CODE=aot_test_model.compiled.ll 2024-08-20T21:57:33.4858661Z +++ mktemp -d -t build_XXX 2024-08-20T21:57:33.4885562Z ++ TMP_DIR=/tmp/build_gSE 2024-08-20T21:57:33.4886747Z + test_custom_script_ops 2024-08-20T21:57:33.4887598Z + echo 'Testing custom script operators' 2024-08-20T21:57:33.4888257Z Testing custom script operators 2024-08-20T21:57:33.4888999Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build 2024-08-20T21:57:33.4889712Z + pushd test/custom_operator 2024-08-20T21:57:33.4890106Z ~/workspace/test/custom_operator ~/workspace 2024-08-20T21:57:33.4890886Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build 2024-08-20T21:57:33.5396813Z + python test_custom_ops.py -v 2024-08-20T21:57:35.5381586Z /var/lib/jenkins/workspace/test/custom_operator/pointwise.py:11: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-08-20T21:57:35.5383342Z @torch.library.impl_abstract("custom::cos") 2024-08-20T21:57:35.5503447Z /var/lib/jenkins/workspace/test/custom_operator/pointwise.py:17: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-08-20T21:57:35.5505168Z @torch.library.impl_abstract("custom::tan") 2024-08-20T21:57:35.5568538Z Test results will be stored in test-reports/python-unittest/test_custom_ops 2024-08-20T21:57:35.5585470Z 2024-08-20T21:57:35.5585651Z Running tests... 2024-08-20T21:57:35.5586483Z ---------------------------------------------------------------------- 2024-08-20T21:57:35.6231003Z test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators) ... /var/lib/jenkins/workspace/test/custom_operator/my_custom_ops.py:9: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-08-20T21:57:35.6233120Z @torch.library.impl_abstract("custom::nonzero") 2024-08-20T21:57:35.6314324Z /var/lib/jenkins/workspace/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead 2024-08-20T21:57:35.6315469Z nnz = ctx.create_unbacked_symint() 2024-08-20T21:57:35.6409346Z ok (0.082s) 2024-08-20T21:57:35.6426703Z test_abstract_impl_pystub_meta (__main__.TestCustomOperators) ... /var/lib/jenkins/workspace/test/custom_operator/my_custom_ops2.py:9: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-08-20T21:57:35.6428788Z @torch.library.impl_abstract("custom::sin") 2024-08-20T21:57:35.6448451Z ok (0.004s) 2024-08-20T21:57:35.6469232Z test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.002s) 2024-08-20T21:57:35.6897494Z test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.043s) 2024-08-20T21:57:35.6904103Z test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s) 2024-08-20T21:57:35.6930024Z test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/autograd/graph.py:817: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1203.) 2024-08-20T21:57:35.6933867Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2024-08-20T21:57:35.6943508Z ok (0.004s) 2024-08-20T21:57:35.6953355Z test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s) 2024-08-20T21:57:35.6958030Z test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.000s) 2024-08-20T21:57:35.8622665Z test_dynamo_pystub_suggestion (__main__.TestCustomOperators) ... ok (0.166s) 2024-08-20T21:57:35.8631691Z test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators) ... ok (0.001s) 2024-08-20T21:57:35.8640004Z test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators) ... ok (0.001s) 2024-08-20T21:57:35.8720493Z test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.008s) 2024-08-20T21:57:35.8721407Z 2024-08-20T21:57:35.8721842Z ---------------------------------------------------------------------- 2024-08-20T21:57:35.8722325Z Ran 12 tests in 0.313s 2024-08-20T21:57:35.8722545Z 2024-08-20T21:57:35.8722635Z OK 2024-08-20T21:57:35.8722765Z 2024-08-20T21:57:35.8722900Z Generating XML reports... 2024-08-20T21:57:35.8804380Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20240820215735.xml 2024-08-20T21:57:36.2350879Z + python model.py --export-script-module=model.pt 2024-08-20T21:57:37.6011485Z + build/test_custom_ops ./model.pt 2024-08-20T21:57:37.8846809Z [W820 21:57:37.516824182 engine.cpp:1203] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator()) 2024-08-20T21:57:37.9314476Z ok 2024-08-20T21:57:38.0106618Z + popd 2024-08-20T21:57:38.0107162Z ~/workspace 2024-08-20T21:57:38.0107610Z + assert_git_not_dirty 2024-08-20T21:57:38.0108222Z + [[ linux-focal-py3.8-clang10 != *rocm* ]] 2024-08-20T21:57:38.0108751Z + [[ linux-focal-py3.8-clang10 != *xla* ]] 2024-08-20T21:57:38.0113353Z ++ git status --porcelain 2024-08-20T21:57:38.0114058Z ++ grep -v '?? third_party' 2024-08-20T21:57:38.1899518Z ++ true 2024-08-20T21:57:38.1900534Z + git_status= 2024-08-20T21:57:38.1901199Z + [[ -n '' ]] 2024-08-20T21:57:38.1901632Z + test_custom_backend 2024-08-20T21:57:38.1902060Z + echo 'Testing custom backends' 2024-08-20T21:57:38.1902427Z Testing custom backends 2024-08-20T21:57:38.1903234Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build 2024-08-20T21:57:38.1903989Z + pushd test/custom_backend 2024-08-20T21:57:38.1904382Z ~/workspace/test/custom_backend ~/workspace 2024-08-20T21:57:38.1905192Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build 2024-08-20T21:57:38.2298572Z + python test_custom_backend.py -v 2024-08-20T21:57:40.2262707Z Test results will be stored in test-reports/python-unittest/test_custom_backend 2024-08-20T21:57:40.2275994Z 2024-08-20T21:57:40.2276356Z Running tests... 2024-08-20T21:57:40.2276972Z ---------------------------------------------------------------------- 2024-08-20T21:57:40.2281395Z test_execute (__main__.TestCustomBackend) 2024-08-20T21:57:40.2791278Z Test execution using the custom backend. ... ok (0.051s) 2024-08-20T21:57:40.2796142Z test_save_load (__main__.TestCustomBackend) 2024-08-20T21:57:40.2983990Z Test that a lowered module can be executed correctly ... ok (0.019s) 2024-08-20T21:57:40.2984654Z 2024-08-20T21:57:40.2985358Z ---------------------------------------------------------------------- 2024-08-20T21:57:40.2985870Z Ran 2 tests in 0.071s 2024-08-20T21:57:40.2986066Z 2024-08-20T21:57:40.2986153Z OK 2024-08-20T21:57:40.2986294Z 2024-08-20T21:57:40.2986412Z Generating XML reports... 2024-08-20T21:57:40.3011252Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20240820215740.xml 2024-08-20T21:57:40.6377633Z + python backend.py --export-module-to=model.pt 2024-08-20T21:57:42.0523230Z + build/test_custom_backend ./model.pt 2024-08-20T21:57:42.3259311Z Testing custom_backend 2024-08-20T21:57:42.3819588Z OK 2024-08-20T21:57:42.4570742Z + rm -f ./model.pt 2024-08-20T21:57:42.4599423Z + popd 2024-08-20T21:57:42.4599816Z ~/workspace 2024-08-20T21:57:42.4600295Z + assert_git_not_dirty 2024-08-20T21:57:42.4601016Z + [[ linux-focal-py3.8-clang10 != *rocm* ]] 2024-08-20T21:57:42.4601553Z + [[ linux-focal-py3.8-clang10 != *xla* ]] 2024-08-20T21:57:42.4606986Z ++ git status --porcelain 2024-08-20T21:57:42.4608957Z ++ grep -v '?? third_party' 2024-08-20T21:57:42.6384783Z ++ true 2024-08-20T21:57:42.6385269Z + git_status= 2024-08-20T21:57:42.6386026Z + [[ -n '' ]] 2024-08-20T21:57:42.6386560Z + test_torch_function_benchmark 2024-08-20T21:57:42.6387214Z + echo 'Testing __torch_function__ benchmarks' 2024-08-20T21:57:42.6387673Z Testing __torch_function__ benchmarks 2024-08-20T21:57:42.6388095Z + pushd benchmarks/overrides_benchmark 2024-08-20T21:57:42.6388583Z ~/workspace/benchmarks/overrides_benchmark ~/workspace 2024-08-20T21:57:42.6389125Z + python bench.py -n 1 -m 2 2024-08-20T21:57:43.8022349Z Type tensor had a minimum time of 0.0059604644775390625 us and a standard deviation of 0.17415077309124172 us. 2024-08-20T21:57:43.8023822Z Type SubTensor had a minimum time of 0.013589859008789062 us and a standard deviation of 0.04046097456011921 us. 2024-08-20T21:57:43.8025551Z Type WithTorchFunction had a minimum time of 0.006198883056640625 us and a standard deviation of 0.023265060008270666 us. 2024-08-20T21:57:43.8026835Z Type SubWithTorchFunction had a minimum time of 0.011444091796875 us and a standard deviation of 0.011632530004135333 us. 2024-08-20T21:57:43.9930054Z + python pyspybench.py Tensor -n 1 2024-08-20T21:57:45.3501891Z + python pyspybench.py SubTensor -n 1 2024-08-20T21:57:46.7217157Z + python pyspybench.py WithTorchFunction -n 1 2024-08-20T21:57:48.0760639Z + python pyspybench.py SubWithTorchFunction -n 1 2024-08-20T21:57:49.4227660Z + popd 2024-08-20T21:57:49.4228026Z ~/workspace 2024-08-20T21:57:49.4228317Z + assert_git_not_dirty 2024-08-20T21:57:49.4228924Z + [[ linux-focal-py3.8-clang10 != *rocm* ]] 2024-08-20T21:57:49.4229465Z + [[ linux-focal-py3.8-clang10 != *xla* ]] 2024-08-20T21:57:49.4234636Z ++ git status --porcelain 2024-08-20T21:57:49.4235367Z ++ grep -v '?? third_party' 2024-08-20T21:57:49.6000741Z ++ true 2024-08-20T21:57:49.6001477Z + git_status= 2024-08-20T21:57:49.6002205Z + [[ -n '' ]] 2024-08-20T21:57:49.6002835Z + cleanup_workspace 2024-08-20T21:57:49.6004288Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2024-08-20T21:57:49.6005403Z sudo may print the following warning message that can be ignored. The chown command will still run. 2024-08-20T21:57:49.6006357Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2024-08-20T21:57:49.6007072Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2024-08-20T21:57:49.6007890Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2024-08-20T21:57:49.6008789Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2024-08-20T21:57:49.6009720Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2024-08-20T21:57:52.1142536Z ##[group]Run cat test/**/*_toprint.log || true 2024-08-20T21:57:52.1143134Z cat test/**/*_toprint.log || true 2024-08-20T21:57:52.1460802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:52.1461291Z env: 2024-08-20T21:57:52.1461549Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.1462154Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.1462798Z ##[endgroup] 2024-08-20T21:57:52.1539160Z cat: 'test/**/*_toprint.log': No such file or directory 2024-08-20T21:57:52.1594985Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2024-08-20T21:57:52.1595445Z kill "$MONITOR_SCRIPT_PID" 2024-08-20T21:57:52.1600841Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:52.1601313Z env: 2024-08-20T21:57:52.1601569Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.1602169Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.1602842Z MONITOR_SCRIPT_PID: 103465 2024-08-20T21:57:52.1603175Z ##[endgroup] 2024-08-20T21:57:52.1809314Z Prepare all required actions 2024-08-20T21:57:52.1809747Z Getting action download info 2024-08-20T21:57:52.3880182Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32) 2024-08-20T21:57:52.5418884Z ##[group]Run ./.github/actions/upload-test-artifacts 2024-08-20T21:57:52.5419346Z with: 2024-08-20T21:57:52.5419769Z file-suffix: test-crossref-2-2-amz2023.linux.2xlarge_29025448570 2024-08-20T21:57:52.5420314Z s3-bucket: gha-artifacts 2024-08-20T21:57:52.5420629Z env: 2024-08-20T21:57:52.5420879Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.5421475Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.5422114Z ##[endgroup] 2024-08-20T21:57:52.5459432Z ##[group]Run # Remove any previous test jsons if they exist 2024-08-20T21:57:52.5460053Z # Remove any previous test jsons if they exist 2024-08-20T21:57:52.5460567Z rm -f test-jsons-*.zip 2024-08-20T21:57:52.5461101Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json' 2024-08-20T21:57:52.5466974Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:52.5467455Z env: 2024-08-20T21:57:52.5467714Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.5468317Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.5469129Z FILE_SUFFIX: test-crossref-2-2-amz2023.linux.2xlarge_29025448570 2024-08-20T21:57:52.5469671Z ##[endgroup] 2024-08-20T21:57:52.5808853Z adding: test/allowlist_for_publicAPI.json (deflated 79%) 2024-08-20T21:57:52.5836237Z adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%) 2024-08-20T21:57:52.5836929Z adding: test/minioptest_failures_dict.json (deflated 70%) 2024-08-20T21:57:52.5842953Z adding: test/profiler/profiler_utils_mock_events.json (deflated 87%) 2024-08-20T21:57:52.5848450Z adding: test/slow_tests.json (deflated 82%) 2024-08-20T21:57:52.5858659Z adding: test/test-reports/td_exclusions-2842be2124364a84e938.json (deflated 82%) 2024-08-20T21:57:52.5859636Z adding: test/test-reports/td_exclusions-fe78c2299faf42ea1249.json (deflated 38%) 2024-08-20T21:57:52.5860605Z adding: test/test-reports/td_exclusions-20a157b95b1ef739e15b.json (deflated 18%) 2024-08-20T21:57:52.5870437Z adding: test/.pytorch-disabled-tests.json (deflated 88%) 2024-08-20T21:57:52.5899355Z ##[group]Run # Remove any previous test reports if they exist 2024-08-20T21:57:52.5899983Z # Remove any previous test reports if they exist 2024-08-20T21:57:52.5900508Z rm -f test-reports-*.zip 2024-08-20T21:57:52.5901082Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv' 2024-08-20T21:57:52.5906760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:52.5907251Z env: 2024-08-20T21:57:52.5907505Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.5908217Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.5909052Z FILE_SUFFIX: test-crossref-2-2-amz2023.linux.2xlarge_29025448570 2024-08-20T21:57:52.5909593Z ##[endgroup] 2024-08-20T21:57:52.6107986Z adding: test/custom_backend/test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20240820215740.xml (deflated 56%) 2024-08-20T21:57:52.6109666Z adding: test/custom_operator/test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20240820215735.xml (deflated 73%) 2024-08-20T21:57:52.6183259Z adding: test/test-reports/python-pytest/test_nn/test_nn-e6e829ce9d053b95.xml (deflated 97%) 2024-08-20T21:57:52.6184553Z adding: test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-a31e1a36d45a5cb1.xml (deflated 28%) 2024-08-20T21:57:52.6186008Z adding: test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-c075ba1968c9b1ad.xml (deflated 91%) 2024-08-20T21:57:52.6187352Z adding: test/test-reports/python-pytest/test_autograd/test_autograd-eb72ef6512f906dc.xml (deflated 28%) 2024-08-20T21:57:52.6204643Z adding: test/test-reports/python-pytest/test_autograd/test_autograd-7961a1fa7266aac3.xml (deflated 92%) 2024-08-20T21:57:52.6206025Z adding: test/test-reports/python-pytest/test_functionalization/test_functionalization-74509827f0760e3c.xml (deflated 28%) 2024-08-20T21:57:52.6208606Z adding: test/test-reports/python-pytest/test_functionalization/test_functionalization-8765bb637b9eaddb.xml (deflated 89%) 2024-08-20T21:57:52.6210031Z adding: test/test-reports/python-pytest/test_serialization/test_serialization-e9767582b3a78574.xml (deflated 45%) 2024-08-20T21:57:52.6219451Z adding: test/test-reports/python-pytest/test_serialization/test_serialization-939a27c49333fd22.xml (deflated 97%) 2024-08-20T21:57:52.6220832Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-d171eaed5bd81ab6.xml (deflated 29%) 2024-08-20T21:57:52.6227987Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-fd01a1bd45007a13.xml (deflated 87%) 2024-08-20T21:57:52.6229249Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-6bf0ebe4a7652438.xml (deflated 29%) 2024-08-20T21:57:52.6230566Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-1b7cd497e51edec4.xml (deflated 58%) 2024-08-20T21:57:52.6271900Z ##[group]Run # Remove any previous usage logs if they exist 2024-08-20T21:57:52.6272872Z # Remove any previous usage logs if they exist 2024-08-20T21:57:52.6273369Z rm -f logs-*.zip 2024-08-20T21:57:52.6274030Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2024-08-20T21:57:52.6274803Z # so check to see if the file exists first 2024-08-20T21:57:52.6275289Z if [ -f 'usage_log.txt' ]; then 2024-08-20T21:57:52.6275795Z  zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' 2024-08-20T21:57:52.6276267Z fi 2024-08-20T21:57:52.6276598Z if ls test/**/*.log 1> /dev/null 2>&1; then 2024-08-20T21:57:52.6277164Z  zip -r "logs-${FILE_SUFFIX}.zip" test -i '*.log' 2024-08-20T21:57:52.6277642Z fi 2024-08-20T21:57:52.6282992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:52.6283487Z env: 2024-08-20T21:57:52.6283742Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.6284332Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.6285158Z FILE_SUFFIX: test-crossref-2-2-amz2023.linux.2xlarge_29025448570 2024-08-20T21:57:52.6285691Z ##[endgroup] 2024-08-20T21:57:52.6350474Z adding: usage_log.txt (deflated 92%) 2024-08-20T21:57:52.6571671Z adding: test/test-reports/inductor.test_distributed_patterns_1.1_84a1ed182913a351_.log (stored 0%) 2024-08-20T21:57:52.6652941Z adding: test/test-reports/test_nn_1.1_3b21e1fefa91b5ad_.log (deflated 95%) 2024-08-20T21:57:52.6654735Z adding: test/test-reports/dynamo.test_trace_rules_1.1_08ca9ac98fbebb07_.log (stored 0%) 2024-08-20T21:57:52.6656842Z adding: test/test-reports/dynamo.test_misc_1.1_9ad2ffe856336dab_.log (stored 0%) 2024-08-20T21:57:52.6658649Z adding: test/test-reports/dynamo.test_functions_1.1_fa53c7685b7586a5_.log (stored 0%) 2024-08-20T21:57:52.6660618Z adding: test/test-reports/dynamo.test_higher_order_ops_1.1_e11e12dc435a6776_.log (stored 0%) 2024-08-20T21:57:52.6662563Z adding: test/test-reports/inductor.test_torchinductor_1.1_6fbd265dc2ef0090_.log (stored 0%) 2024-08-20T21:57:52.6664631Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_1305ab1dd15861f3_.log (stored 0%) 2024-08-20T21:57:52.6666564Z adding: test/test-reports/dynamo.test_export_1.1_1cb665aaf02c7869_.log (stored 0%) 2024-08-20T21:57:52.6668487Z adding: test/test-reports/inductor.test_compiled_optimizers_1.1_d166bc154fef639f_.log (stored 0%) 2024-08-20T21:57:52.6669937Z adding: test/test-reports/dynamo.test_interop_1.1_13aafe2c1b642499_.log (stored 0%) 2024-08-20T21:57:52.6670882Z adding: test/test-reports/dynamo.test_exc_1.1_c29c9cbc4e45faa1_.log (stored 0%) 2024-08-20T21:57:52.6672411Z adding: test/test-reports/dynamo.test_unspec_1.1_1847ad538cf9aeff_.log (stored 0%) 2024-08-20T21:57:52.6673870Z adding: test/test-reports/dynamo.test_ctx_manager_1.1_10cd08617b68e924_.log (stored 0%) 2024-08-20T21:57:52.6674918Z adding: test/test-reports/inductor.test_pattern_matcher_1.1_ca469d7718737bb6_.log (stored 0%) 2024-08-20T21:57:52.6676045Z adding: test/test-reports/dynamo.test_activation_checkpointing_1.1_a5bd6f354ccc23b0_.log (stored 0%) 2024-08-20T21:57:52.6677196Z adding: test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_606b9d548345409c_.log (stored 0%) 2024-08-20T21:57:52.6678314Z adding: test/test-reports/inductor.test_fused_attention_1.1_a4c8c99fc9ac0abd_.log (stored 0%) 2024-08-20T21:57:52.6679352Z adding: test/test-reports/inductor.test_foreach_1.1_5ee8c82a2bfc70bd_.log (stored 0%) 2024-08-20T21:57:52.6680414Z adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_bbce8c062c5a2987_.log (stored 0%) 2024-08-20T21:57:52.6681493Z adding: test/test-reports/inductor.test_cpu_repro_1.1_ea1ffe1921a2c35f_.log (stored 0%) 2024-08-20T21:57:52.6682518Z adding: test/test-reports/inductor.test_cuda_repro_1.1_a454f7e27297eb85_.log (stored 0%) 2024-08-20T21:57:52.6683525Z adding: test/test-reports/dynamo.test_aot_autograd_1.1_63dedd1670c31e7b_.log (stored 0%) 2024-08-20T21:57:52.6684525Z adding: test/test-reports/dynamo.test_backends_1.1_35bef3bf8970db62_.log (stored 0%) 2024-08-20T21:57:52.6685510Z adding: test/test-reports/dynamo.test_comptime_1.1_b22e61ccdcdd3731_.log (stored 0%) 2024-08-20T21:57:52.6686481Z adding: test/test-reports/dynamo.test_minifier_1.1_4e71819f6c3b28ee_.log (stored 0%) 2024-08-20T21:57:52.6687594Z adding: test/test-reports/inductor.test_extension_backend_1.1_9cbbe8698d6766d9_.log (stored 0%) 2024-08-20T21:57:52.6688622Z adding: test/test-reports/dynamo.test_config_1.1_d904de0d4a398c6f_.log (stored 0%) 2024-08-20T21:57:52.6689610Z adding: test/test-reports/inductor.test_minifier_1.1_a9ee3ff344c68cd9_.log (stored 0%) 2024-08-20T21:57:52.6690862Z adding: test/test-reports/inductor.test_coordinate_descent_tuner_1.1_bd716d11dafe736f_.log (stored 0%) 2024-08-20T21:57:52.6692271Z adding: test/test-reports/inductor.test_binary_folding_1.1_1d484990bfeef739_.log (stored 0%) 2024-08-20T21:57:52.6693361Z adding: test/test-reports/inductor.test_select_algorithm_1.1_2e71819ea8c034de_.log (stored 0%) 2024-08-20T21:57:52.6694789Z adding: test/test-reports/dynamo.test_verify_correctness_1.1_7fc397a205df45ce_.log (stored 0%) 2024-08-20T21:57:52.6696062Z adding: test/test-reports/dynamo.test_nops_1.1_f1deb24020ca6c28_.log (stored 0%) 2024-08-20T21:57:52.6697088Z adding: test/test-reports/inductor.test_triton_heuristics_1.1_9bd74532c996a551_.log (stored 0%) 2024-08-20T21:57:52.6698183Z adding: test/test-reports/inductor.test_minifier_isolate_1.1_c93444609bdb7bf4_.log (stored 0%) 2024-08-20T21:57:52.6699395Z adding: test/test-reports/inductor.test_custom_lowering_1.1_ca7e27b171f28125_.log (stored 0%) 2024-08-20T21:57:52.6700453Z adding: test/test-reports/export.test_unflatten_1.1_b110559c21c147c1_.log (deflated 50%) 2024-08-20T21:57:52.6701468Z adding: test/test-reports/export.test_serdes_1.1_bc6eb9acd2981376_.log (deflated 66%) 2024-08-20T21:57:52.6702428Z adding: test/test-reports/test_autograd_1.1_cd754a86d32d8a9a_.log (deflated 49%) 2024-08-20T21:57:52.6703406Z adding: test/test-reports/test_functionalization_1.1_a5d2f02b2f7f4184_.log (deflated 50%) 2024-08-20T21:57:52.6704461Z adding: test/test-reports/inductor.test_cudacodecache_1.1_44d6561afad84617_.log (stored 0%) 2024-08-20T21:57:52.6705483Z adding: test/test-reports/test_serialization_1.1_a825b38df7b0063f_.log (deflated 63%) 2024-08-20T21:57:52.6706625Z adding: test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_bcc350ddf752dd3d_.log (deflated 66%) 2024-08-20T21:57:52.6707803Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_cf032028a73ee6c7_.log (stored 0%) 2024-08-20T21:57:52.6708943Z adding: test/test-reports/dynamo.test_trace_rules_1.1_77a7014b683907b5_.log (stored 0%) 2024-08-20T21:57:52.6709943Z adding: test/test-reports/dynamo.test_functions_1.1_f26a4a125ae2c55c_.log (stored 0%) 2024-08-20T21:57:52.6710891Z adding: test/test-reports/dynamo.test_misc_1.1_7f930fbb60ffb121_.log (stored 0%) 2024-08-20T21:57:52.6711894Z adding: test/test-reports/dynamo.test_higher_order_ops_1.1_8b2be8585109e3e5_.log (stored 0%) 2024-08-20T21:57:52.6712977Z adding: test/test-reports/inductor.test_torchinductor_1.1_db43623ca78b25e9_.log (stored 0%) 2024-08-20T21:57:52.6714992Z adding: test/test-reports/dynamo.test_export_1.1_bebb4364568f992b_.log (stored 0%) 2024-08-20T21:57:52.6716108Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_303e080072972328_.log (stored 0%) 2024-08-20T21:57:52.6717199Z adding: test/test-reports/dynamo.test_interop_1.1_41cfb22866cd9665_.log (stored 0%) 2024-08-20T21:57:52.6718243Z adding: test/test-reports/dynamo.test_exc_1.1_c1eba43d0ce356c8_.log (stored 0%) 2024-08-20T21:57:52.6719697Z adding: test/test-reports/inductor.test_compiled_optimizers_1.1_fac4598f3954f65d_.log (stored 0%) 2024-08-20T21:57:52.6720750Z adding: test/test-reports/dynamo.test_unspec_1.1_f2cac113caab27a6_.log (stored 0%) 2024-08-20T21:57:52.6721742Z adding: test/test-reports/dynamo.test_ctx_manager_1.1_03542cfa5aaabd2f_.log (stored 0%) 2024-08-20T21:57:52.6722786Z adding: test/test-reports/inductor.test_pattern_matcher_1.1_e6e9bdbd8a69fcb9_.log (stored 0%) 2024-08-20T21:57:52.6723914Z adding: test/test-reports/dynamo.test_activation_checkpointing_1.1_e9e1c6b9e3677ac6_.log (stored 0%) 2024-08-20T21:57:52.6725082Z adding: test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_8b75f98f82bec5c6_.log (stored 0%) 2024-08-20T21:57:52.6726194Z adding: test/test-reports/inductor.test_fused_attention_1.1_f35bcc42c888f133_.log (stored 0%) 2024-08-20T21:57:52.6727283Z adding: test/test-reports/inductor.test_foreach_1.1_1f7c6f8a5b242397_.log (stored 0%) 2024-08-20T21:57:52.6728358Z adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_101b4f677049f874_.log (stored 0%) 2024-08-20T21:57:52.6729419Z adding: test/test-reports/dynamo.test_aot_autograd_1.1_3869affb511abae5_.log (stored 0%) 2024-08-20T21:57:52.6730427Z adding: test/test-reports/inductor.test_cpu_repro_1.1_10f33ea67af96d1d_.log (stored 0%) 2024-08-20T21:57:52.6731450Z adding: test/test-reports/inductor.test_cuda_repro_1.1_9f08b85f29e7a14d_.log (stored 0%) 2024-08-20T21:57:52.6732458Z adding: test/test-reports/dynamo.test_backends_1.1_a2cbeb75e23b5db0_.log (stored 0%) 2024-08-20T21:57:52.6733439Z adding: test/test-reports/dynamo.test_comptime_1.1_802f92e1003a8ae1_.log (stored 0%) 2024-08-20T21:57:52.6734397Z adding: test/test-reports/dynamo.test_minifier_1.1_6f6027053699a335_.log (stored 0%) 2024-08-20T21:57:52.6735363Z adding: test/test-reports/dynamo.test_config_1.1_cd70c14b5429cf11_.log (stored 0%) 2024-08-20T21:57:52.6736436Z adding: test/test-reports/inductor.test_minifier_1.1_817fb98a327e69d1_.log (stored 0%) 2024-08-20T21:57:52.6737487Z adding: test/test-reports/inductor.test_extension_backend_1.1_d6c1ef51a8941781_.log (stored 0%) 2024-08-20T21:57:52.6738645Z adding: test/test-reports/inductor.test_coordinate_descent_tuner_1.1_2c842fc039c7936b_.log (stored 0%) 2024-08-20T21:57:52.6739785Z adding: test/test-reports/inductor.test_select_algorithm_1.1_ae269e41dc96667a_.log (stored 0%) 2024-08-20T21:57:52.6740882Z adding: test/test-reports/dynamo.test_verify_correctness_1.1_46af4b13fb8c0dc3_.log (stored 0%) 2024-08-20T21:57:52.6741947Z adding: test/test-reports/inductor.test_binary_folding_1.1_5ac09311b3548844_.log (stored 0%) 2024-08-20T21:57:52.6742941Z adding: test/test-reports/dynamo.test_nops_1.1_e95f9f8939011b4e_.log (stored 0%) 2024-08-20T21:57:52.6743963Z adding: test/test-reports/inductor.test_triton_heuristics_1.1_f510b999fe0861ff_.log (stored 0%) 2024-08-20T21:57:52.6745051Z adding: test/test-reports/inductor.test_minifier_isolate_1.1_8b766b08b56fef3b_.log (stored 0%) 2024-08-20T21:57:52.6746202Z adding: test/test-reports/inductor.test_custom_lowering_1.1_28c52389f3fe5f1a_.log (stored 0%) 2024-08-20T21:57:52.6747236Z adding: test/test-reports/export.test_serdes_1.1_2f2d171024f007d3_.log (deflated 66%) 2024-08-20T21:57:52.6748250Z adding: test/test-reports/export.test_unflatten_1.1_02fc2f0a14c768df_.log (deflated 79%) 2024-08-20T21:57:52.6749269Z adding: test/test-reports/test_functionalization_1.1_664bbcd667ca19fc_.log (deflated 89%) 2024-08-20T21:57:52.6750340Z adding: test/test-reports/inductor.test_cudacodecache_1.1_20c6cf5a2f4b4d7c_.log (stored 0%) 2024-08-20T21:57:52.6751533Z adding: test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_2b5ac85e206d0318_.log (deflated 66%) 2024-08-20T21:57:52.6752698Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_8e6f40716ded58a7_.log (stored 0%) 2024-08-20T21:57:52.6753699Z adding: test/test-reports/test_autograd_1.1_bb7e5957aa7478cb_.log (deflated 89%) 2024-08-20T21:57:52.6754877Z adding: test/test-reports/test_serialization_1.1_570ef522852c6d03_.log (deflated 90%) 2024-08-20T21:57:52.6756472Z adding: test/test-reports/cpp.test_jit_1.1_1d59425b52fefee0_.log (deflated 48%) 2024-08-20T21:57:52.6757975Z adding: test/test-reports/cpp.test_jit_1.1_ab22a917e45c1981_.log (deflated 93%) 2024-08-20T21:57:52.6759764Z adding: test/test-reports/cpp.test_mobile_nnc_1.1_7fe7fe42a064b8b0_.log (deflated 48%) 2024-08-20T21:57:52.6761638Z adding: test/test-reports/cpp.test_mobile_nnc_1.1_adaa7898fde8dc5b_.log (deflated 74%) 2024-08-20T21:57:52.6787568Z ##[group]Run # Remove any previous debugging artifacts if they exist 2024-08-20T21:57:52.6788278Z # Remove any previous debugging artifacts if they exist 2024-08-20T21:57:52.6788819Z rm -f debug-*.zip 2024-08-20T21:57:52.6789174Z if [ -d 'test/debug' ]; then 2024-08-20T21:57:52.6789644Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2024-08-20T21:57:52.6790111Z fi 2024-08-20T21:57:52.6795262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:52.6795735Z env: 2024-08-20T21:57:52.6795993Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.6796596Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.6797402Z FILE_SUFFIX: test-crossref-2-2-amz2023.linux.2xlarge_29025448570 2024-08-20T21:57:52.6797940Z ##[endgroup] 2024-08-20T21:57:52.6910934Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T21:57:52.6911348Z with: 2024-08-20T21:57:52.6911613Z s3-bucket: gha-artifacts 2024-08-20T21:57:52.6912024Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:52.6912472Z retention-days: 14 2024-08-20T21:57:52.6912783Z if-no-files-found: warn 2024-08-20T21:57:52.6913121Z path: test-jsons-*.zip 2024-08-20T21:57:52.6913423Z name: artifact 2024-08-20T21:57:52.6913704Z region: us-east-1 2024-08-20T21:57:52.6913979Z env: 2024-08-20T21:57:52.6914361Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:52.6914963Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:52.6915610Z ##[endgroup] 2024-08-20T21:57:53.0682455Z NOTE: s3-prefix specified, ignoring name parameter 2024-08-20T21:57:53.0683187Z With the provided path, there will be 1 file uploaded 2024-08-20T21:57:53.0684099Z Uploading to s3 prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:53.2169693Z Starting upload of test-jsons-test-crossref-2-2-amz2023.linux.2xlarge_29025448570.zip 2024-08-20T21:57:53.3278812Z Finished upload of test-jsons-test-crossref-2-2-amz2023.linux.2xlarge_29025448570.zip 2024-08-20T21:57:53.3464681Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T21:57:53.3465101Z with: 2024-08-20T21:57:53.3465361Z s3-bucket: gha-artifacts 2024-08-20T21:57:53.3465778Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:53.3466222Z retention-days: 14 2024-08-20T21:57:53.3466542Z if-no-files-found: error 2024-08-20T21:57:53.3466884Z path: test-reports-*.zip 2024-08-20T21:57:53.3467193Z name: artifact 2024-08-20T21:57:53.3467605Z region: us-east-1 2024-08-20T21:57:53.3467887Z env: 2024-08-20T21:57:53.3468125Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:53.3468723Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:53.3469383Z ##[endgroup] 2024-08-20T21:57:53.6867287Z NOTE: s3-prefix specified, ignoring name parameter 2024-08-20T21:57:53.6868272Z With the provided path, there will be 1 file uploaded 2024-08-20T21:57:53.6868921Z Uploading to s3 prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:53.6907360Z Starting upload of test-reports-test-crossref-2-2-amz2023.linux.2xlarge_29025448570.zip 2024-08-20T21:57:53.8396910Z Finished upload of test-reports-test-crossref-2-2-amz2023.linux.2xlarge_29025448570.zip 2024-08-20T21:57:53.8589048Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T21:57:53.8589464Z with: 2024-08-20T21:57:53.8589738Z s3-bucket: gha-artifacts 2024-08-20T21:57:53.8590168Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:53.8590612Z retention-days: 14 2024-08-20T21:57:53.8590923Z if-no-files-found: ignore 2024-08-20T21:57:53.8591253Z path: logs-*.zip 2024-08-20T21:57:53.8591522Z name: artifact 2024-08-20T21:57:53.8591795Z region: us-east-1 2024-08-20T21:57:53.8592071Z env: 2024-08-20T21:57:53.8592308Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:53.8592900Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:53.8593548Z ##[endgroup] 2024-08-20T21:57:54.2008799Z NOTE: s3-prefix specified, ignoring name parameter 2024-08-20T21:57:54.2009794Z With the provided path, there will be 1 file uploaded 2024-08-20T21:57:54.2010864Z Uploading to s3 prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:54.2050523Z Starting upload of logs-test-crossref-2-2-amz2023.linux.2xlarge_29025448570.zip 2024-08-20T21:57:54.3516925Z Finished upload of logs-test-crossref-2-2-amz2023.linux.2xlarge_29025448570.zip 2024-08-20T21:57:54.3715877Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T21:57:54.3716308Z with: 2024-08-20T21:57:54.3716552Z s3-bucket: gha-artifacts 2024-08-20T21:57:54.3716977Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T21:57:54.3717441Z retention-days: 14 2024-08-20T21:57:54.3717745Z if-no-files-found: ignore 2024-08-20T21:57:54.3718089Z path: debug-*.zip 2024-08-20T21:57:54.3718380Z name: artifact 2024-08-20T21:57:54.3718647Z region: us-east-1 2024-08-20T21:57:54.3718926Z env: 2024-08-20T21:57:54.3719178Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:54.3719762Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:54.3720415Z ##[endgroup] 2024-08-20T21:57:54.7052398Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2024-08-20T21:57:54.7238119Z ##[group]Run # shellcheck disable=SC2156 2024-08-20T21:57:54.7238718Z # shellcheck disable=SC2156 2024-08-20T21:57:54.7239825Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2024-08-20T21:57:54.7246407Z shell: /usr/bin/bash -e {0} 2024-08-20T21:57:54.7246749Z env: 2024-08-20T21:57:54.7247089Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:54.7247683Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:54.7248342Z ##[endgroup] 2024-08-20T21:57:54.9463828Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2024-08-20T21:57:54.9464373Z with: 2024-08-20T21:57:54.9464605Z env: 2024-08-20T21:57:54.9464854Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:54.9465444Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:54.9466095Z ##[endgroup] 2024-08-20T21:57:54.9486077Z ##[group]Run set -eou pipefail 2024-08-20T21:57:54.9486463Z set -eou pipefail 2024-08-20T21:57:54.9486805Z  2024-08-20T21:57:54.9487393Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2024-08-20T21:57:54.9488018Z for _ in $(seq 1440); do 2024-08-20T21:57:54.9488561Z  # Break if no ssh session exists anymore 2024-08-20T21:57:54.9489045Z  if [ "$(who)" = "" ]; then 2024-08-20T21:57:54.9489416Z  break 2024-08-20T21:57:54.9489707Z  fi 2024-08-20T21:57:54.9490010Z  echo "." 2024-08-20T21:57:54.9490315Z  sleep 5 2024-08-20T21:57:54.9490607Z done 2024-08-20T21:57:54.9496143Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:54.9496632Z env: 2024-08-20T21:57:54.9496889Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:54.9497476Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:54.9498131Z ##[endgroup] 2024-08-20T21:57:54.9520844Z Holding runner for 2 hours until all ssh sessions have logged out 2024-08-20T21:57:54.9613358Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T21:57:54.9614129Z # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T21:57:54.9614949Z # shellcheck disable=SC2046 2024-08-20T21:57:54.9615397Z docker stop $(docker ps -q) || true 2024-08-20T21:57:54.9615849Z # Prune all of the docker images 2024-08-20T21:57:54.9616285Z docker system prune -af 2024-08-20T21:57:54.9621734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:57:54.9622208Z env: 2024-08-20T21:57:54.9622471Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:57:54.9623075Z DOCKER_CONTAINER_ID: 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:54.9623714Z ##[endgroup] 2024-08-20T21:57:55.5859283Z 69d2416ec00d 2024-08-20T21:57:56.1376894Z Deleted Containers: 2024-08-20T21:57:56.1377455Z 69d2416ec00df194454cffaa295a1cf17a29ba2a779b1194f2d450660ade5acf 2024-08-20T21:57:56.1377925Z 2024-08-20T21:58:06.4361010Z Deleted Images: 2024-08-20T21:58:06.4364153Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:58:06.4366665Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.8-clang10@sha256:da4f2a32feabaf99db66bd265452bbdfcbf15b68d62a2c99e376381cf9847056 2024-08-20T21:58:06.4368526Z deleted: sha256:173e558baa8c5e8faf3666eac855ea4d2dd0d8c40ab4b43dd185ce9ad29e7bdf 2024-08-20T21:58:06.4369926Z deleted: sha256:49b6e827048fe2cf14b3c44c73099685e22759dfbedb80742aa4cae742d8248f 2024-08-20T21:58:06.4371414Z deleted: sha256:5a4f2e8c5aaae8252ea15472520426b2331e62efeedc36f002729eb7d35e0968 2024-08-20T21:58:06.4372987Z deleted: sha256:133d0d1cb4d842efd45235309f4075ac342b66826ead9c5844f3a025cc87447f 2024-08-20T21:58:06.4375003Z deleted: sha256:551abaf118fabea1b2ac9e8607b290d72eee2fcda7c4a272903aba246cba3a30 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[command]/usr/bin/git version 2024-08-20T21:58:06.5600788Z git version 2.40.1 2024-08-20T21:58:06.5636919Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/483beb78-3db1-44bf-b064-45854163b7a2' before making global git config changes 2024-08-20T21:58:06.5638218Z Adding repository directory to the temporary git global config as a safe directory 2024-08-20T21:58:06.5641575Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:58:06.5687258Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-08-20T21:58:06.5718058Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-08-20T21:58:06.6082177Z Entering 'android/libs/fbjni' 2024-08-20T21:58:06.6131334Z Entering 'third_party/FP16' 2024-08-20T21:58:06.6181316Z Entering 'third_party/FXdiv' 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'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:58:06.8729733Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:58:06.8779421Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:58:06.8829061Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:58:06.8897002Z Entering 'third_party/pocketfft' 2024-08-20T21:58:06.8946338Z Entering 'third_party/protobuf' 2024-08-20T21:58:06.8999438Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:58:06.9047271Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:58:06.9096994Z Entering 'third_party/psimd' 2024-08-20T21:58:06.9145865Z Entering 'third_party/pthreadpool' 2024-08-20T21:58:06.9194387Z Entering 'third_party/pybind11' 2024-08-20T21:58:06.9243933Z Entering 'third_party/python-peachpy' 2024-08-20T21:58:06.9292244Z Entering 'third_party/sleef' 2024-08-20T21:58:06.9341548Z Entering 'third_party/tensorpipe' 2024-08-20T21:58:06.9390819Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:58:06.9438560Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:58:06.9485845Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:58:06.9533548Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:58:06.9579922Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:58:06.9646590Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-08-20T21:58:06.9673179Z http.https://github.com/.extraheader 2024-08-20T21:58:06.9681821Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2024-08-20T21:58:06.9715597Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2024-08-20T21:58:06.9981434Z Entering 'android/libs/fbjni' 2024-08-20T21:58:07.0014359Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0044669Z Entering 'third_party/FP16' 2024-08-20T21:58:07.0078236Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0107949Z Entering 'third_party/FXdiv' 2024-08-20T21:58:07.0140904Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0170204Z Entering 'third_party/NNPACK' 2024-08-20T21:58:07.0202955Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0232794Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T21:58:07.0266952Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0297831Z Entering 'third_party/XNNPACK' 2024-08-20T21:58:07.0330575Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0377495Z Entering 'third_party/benchmark' 2024-08-20T21:58:07.0409633Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0439500Z Entering 'third_party/cpp-httplib' 2024-08-20T21:58:07.0471580Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0501706Z Entering 'third_party/cpuinfo' 2024-08-20T21:58:07.0534353Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0565015Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:58:07.0597915Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0628117Z Entering 'third_party/cutlass' 2024-08-20T21:58:07.0660658Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0699389Z Entering 'third_party/eigen' 2024-08-20T21:58:07.0732021Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0764289Z Entering 'third_party/fbgemm' 2024-08-20T21:58:07.0797061Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0827212Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:58:07.0860280Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0891618Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:58:07.0923027Z http.https://github.com/.extraheader 2024-08-20T21:58:07.0953322Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:58:07.0985024Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1021874Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:58:07.1053575Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1084017Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:58:07.1115523Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1146749Z Entering 'third_party/flatbuffers' 2024-08-20T21:58:07.1179563Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1212244Z Entering 'third_party/fmt' 2024-08-20T21:58:07.1244951Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1275468Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:58:07.1308347Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1338595Z Entering 'third_party/gloo' 2024-08-20T21:58:07.1371151Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1401230Z Entering 'third_party/googletest' 2024-08-20T21:58:07.1434100Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1464155Z Entering 'third_party/ideep' 2024-08-20T21:58:07.1497799Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1527020Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:58:07.1558746Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1597082Z Entering 'third_party/ittapi' 2024-08-20T21:58:07.1629813Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1659549Z Entering 'third_party/kineto' 2024-08-20T21:58:07.1692792Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1722531Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:58:07.1754775Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1784479Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:58:07.1816516Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1848357Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:58:07.1882428Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1913325Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:58:07.1944713Z http.https://github.com/.extraheader 2024-08-20T21:58:07.1975581Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:58:07.2007410Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2037473Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:58:07.2069419Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2102679Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:58:07.2134434Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2165422Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:58:07.2198138Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2228018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:58:07.2259860Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2291632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:58:07.2323717Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2355319Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:58:07.2388677Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2418135Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:58:07.2450278Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2481860Z Entering 'third_party/mimalloc' 2024-08-20T21:58:07.2514656Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2544778Z Entering 'third_party/nccl/nccl' 2024-08-20T21:58:07.2577983Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2607818Z Entering 'third_party/nlohmann' 2024-08-20T21:58:07.2640349Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2671067Z Entering 'third_party/onnx' 2024-08-20T21:58:07.2703859Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2748934Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T21:58:07.2781441Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2811031Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T21:58:07.2843088Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2875534Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T21:58:07.2908253Z http.https://github.com/.extraheader 2024-08-20T21:58:07.2942207Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:58:07.2973953Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3004054Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:58:07.3035490Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3065153Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:58:07.3096612Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3126139Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:58:07.3157581Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3188558Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:58:07.3220011Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3250026Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:58:07.3281477Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3310781Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:58:07.3341855Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3370947Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:58:07.3402910Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3434840Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:58:07.3467497Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3499181Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:58:07.3530053Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3579867Z Entering 'third_party/pocketfft' 2024-08-20T21:58:07.3612366Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3641980Z Entering 'third_party/protobuf' 2024-08-20T21:58:07.3676554Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3709052Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:58:07.3741294Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3769414Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:58:07.3801783Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3832799Z Entering 'third_party/psimd' 2024-08-20T21:58:07.3865374Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3895549Z Entering 'third_party/pthreadpool' 2024-08-20T21:58:07.3927966Z http.https://github.com/.extraheader 2024-08-20T21:58:07.3957027Z Entering 'third_party/pybind11' 2024-08-20T21:58:07.3989613Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4019492Z Entering 'third_party/python-peachpy' 2024-08-20T21:58:07.4052044Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4081603Z Entering 'third_party/sleef' 2024-08-20T21:58:07.4114242Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4144248Z Entering 'third_party/tensorpipe' 2024-08-20T21:58:07.4177338Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4207339Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:58:07.4238927Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4268281Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:58:07.4299844Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4329120Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:58:07.4360329Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4390585Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:58:07.4422362Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4451923Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:58:07.4483750Z http.https://github.com/.extraheader 2024-08-20T21:58:07.4597504Z A job completed hook has been configured by the self-hosted runner administrator 2024-08-20T21:58:07.4616379Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2024-08-20T21:58:07.4621566Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:58:07.4622080Z ##[endgroup] 2024-08-20T21:58:15.3403308Z Cleaning up orphan processes